Download or read book Fuzzy Holographic and Parallel Intelligence written by Branko Soucek and published by Wiley-Interscience. This book was released on 1992-05-06 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important volume introduces you to the new wave of applied intelligent systems that are able to deal with the complex, fuzzy, noisy, and highly varying problems found today in everything from manufacturing to intelligent database tasks. The sixth generation advanced hardware and software solutions in this innovative, groundbreaking work open up new vistas in computing: processing and reasoning by associations. You'll find major breakthroughs in machine cognition--speed-up factors of 10 to 100, compared to other learning paradigms, are achievable; novel solutions to the enfolding of very large sets of fuzzy associations using holographic neural technology, including a novel information representation solution employing a vector orientation on a Riemann plane; a description of neural-fuzzy hybrids, a new class of associative systems and cellular processors; a full spectrum of techniques and algorithms to vastly enhance performance in such key computer processes as scientific and technical data processing...natural language generation and cognition...fuzzy processing in reasoning...decision-making robotics and process control...computer vision and graphics...and pattern identification and recognition. Computer engineers, software designers, managers, and students will find a range of newly developed intelligent modules, systems, and methods never before gathered under one cover--plus previously unpublished work from the renowned international IRIS (Integration of Reasoning, Informing and Serving) Group. Fuzzy, Holographic and Parallel Intelligence is the sixth-generation breakthrough.
Download or read book Intelligent Control of Robotic Systems written by D. Katic and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: As robotic systems make their way into standard practice, they have opened the door to a wide spectrum of complex applications. Such applications usually demand that the robots be highly intelligent. Future robots are likely to have greater sensory capabilities, more intelligence, higher levels of manual dexter ity, and adequate mobility, compared to humans. In order to ensure high-quality control and performance in robotics, new intelligent control techniques must be developed, which are capable of coping with task complexity, multi-objective decision making, large volumes of perception data and substantial amounts of heuristic information. Hence, the pursuit of intelligent autonomous robotic systems has been a topic of much fascinating research in recent years. On the other hand, as emerging technologies, Soft Computing paradigms consisting of complementary elements of Fuzzy Logic, Neural Computing and Evolutionary Computation are viewed as the most promising methods towards intelligent robotic systems. Due to their strong learning and cognitive ability and good tolerance of uncertainty and imprecision, Soft Computing techniques have found wide application in the area of intelligent control of robotic systems.
Download or read book Rethinking Neural Networks written by Karl H. Pribram and published by Psychology Press. This book was released on 2014-04-08 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: The result of the first Appalachian Conference on neurodynamics, this volume focuses on processing in biological neural networks. How do brain processes become organized during decision making? That is, what are the neural antecedents that determine which course of action is to be pursued? Half of the contributions deal with modelling synapto-dendritic and neural ultrastructural processes; the remainder, with laboratory research findings, often cast in terms of the models. The interchanges at the conference and the ensuing publication also provide a foundation for further meetings. These will address how processes in different brain systems, coactive with the neural residues of experience and with sensory input, determine decisions.
Download or read book Scale in Conscious Experience written by Joseph S. King and published by Psychology Press. This book was released on 2013-04-15 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the result of the third Appalachian Conference on Behavioral Neurodynamics which focused on the problem of scale in conscious experience. Set against the philosophical view of "eliminative materialism," the purpose of this conference was to facilitate communication among investigators who approach the study of consciousness and conscious phenomena from a variety of analytical levels. One speculative outcome of the conference is that the columnar arrangement within primary sensory cortices may provide the local isolation necessary for nonlocal interactions to occur. In addition, the relationship between unit activity and field potentials within a circumscribed region of cortex may provide the other enigmatic aspect of neurophysiological nonlocality, namely, the common context in the macro scale. So instead of a problem looking for a solution, scale becomes a solution to a problem. Only further research will determine the utility of the ideas expressed here.
Download or read book Innovations in Machine and Deep Learning written by Gilberto Rivera and published by Springer Nature. This book was released on 2023-11-04 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and leaders. This book presents numerous successful applications of AI in various contexts. The innovative implications covered fall under the general field of machine learning (ML), including deep learning, decision-making, forecasting, pattern recognition, information retrieval, and interpretable AI. Decision-makers and entrepreneurs will find numerous successful applications in health care, sustainability, risk management, human activity recognition, logistics, and Industry 4.0. This book is an essential resource for anyone interested in challenges, opportunities, and the latest developments and real-world applications of ML. Whether you are a student, researcher, practitioner, or simply curious about AI, this book provides valuable insights and inspiration for your work and learning.
Download or read book Foundations of Distributed Artificial Intelligence written by G. M. P. O'Hare and published by John Wiley & Sons. This book was released on 1996-04-05 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed Artificial Intelligence (DAI) is a dynamic area of research and this book is the first comprehensive, truly integrated exposition of the discipline presenting influential contributions from leaders in the field. Commences with a solid introduction to the theoretical and practical issues of DAI, followed by a discussion of the core research topics--communication, coordination, planning--and how they are related to each other. The third section describes a number of DAI testbeds, illustrating particular strategies commissioned to provide software environments for building and experimenting with DAI systems. The final segment contains contributions which consider DAI from different perspectives.
Download or read book Wavelets and Their Applications written by J.S. Byrnes and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is probably true quite generally that in the history of human thinking the most fruitful developments frequently take place at those points where two different lines of thought meet. Hence, if they actually meet, that is, if they are at least so much related to each other that a real interaction can take place, then one may hope that new and interesting developments may follow. Werner Heisenberg This volume contains papers presented at the August 1992 NATO Advanced Study Institute on Wavelets and Their Applications. The conference was held at the beautiful Il Ciocco resort near Lucca, in the glorious Tuscany region of northern Italy. Once again we gathered at this idyllic spot to explore and extend the reciprocity between mathematics and engineering. The dynamic interaction between world-renowned scientists from the usu ally disparate communities of pure mathematicians and applied scientists, which occurred at our 1989 and 1991 ASI's, continued at this meeting. Wavelet theory and technology is in an important growth stage at which theoretical and practical results are being compared with existing methods. There have been spectacular wavelet successes and sobering comparisons with traditional ideas-but still there is a wide expanse of scientific problems to explore. Since these problems lie at the forefront of both pure mathematics and applied science, our NATO ASI was especially pertinent at this time.
Download or read book The Theory of Perfect Learning written by Nonvikan Karl-Augustt Alahassa and published by Nonvikan Karl-Augustt Alahassa. This book was released on 2021-08-17 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: The perfect learning exists. We mean a learning model that can be generalized, and moreover, that can always fit perfectly the test data, as well as the training data. We have performed in this thesis many experiments that validate this concept in many ways. The tools are given through the chapters that contain our developments. The classical Multilayer Feedforward model has been re-considered and a novel $N_k$-architecture is proposed to fit any multivariate regression task. This model can easily be augmented to thousands of possible layers without loss of predictive power, and has the potential to overcome our difficulties simultaneously in building a model that has a good fit on the test data, and don't overfit. His hyper-parameters, the learning rate, the batch size, the number of training times (epochs), the size of each layer, the number of hidden layers, all can be chosen experimentally with cross-validation methods. There is a great advantage to build a more powerful model using mixture models properties. They can self-classify many high dimensional data in a few numbers of mixture components. This is also the case of the Shallow Gibbs Network model that we built as a Random Gibbs Network Forest to reach the performance of the Multilayer feedforward Neural Network in a few numbers of parameters, and fewer backpropagation iterations. To make it happens, we propose a novel optimization framework for our Bayesian Shallow Network, called the {Double Backpropagation Scheme} (DBS) that can also fit perfectly the data with appropriate learning rate, and which is convergent and universally applicable to any Bayesian neural network problem. The contribution of this model is broad. First, it integrates all the advantages of the Potts Model, which is a very rich random partitions model, that we have also modified to propose its Complete Shrinkage version using agglomerative clustering techniques. The model takes also an advantage of Gibbs Fields for its weights precision matrix structure, mainly through Markov Random Fields, and even has five (5) variants structures at the end: the Full-Gibbs, the Sparse-Gibbs, the Between layer Sparse Gibbs which is the B-Sparse Gibbs in a short, the Compound Symmetry Gibbs (CS-Gibbs in short), and the Sparse Compound Symmetry Gibbs (Sparse-CS-Gibbs) model. The Full-Gibbs is mainly to remind fully-connected models, and the other structures are useful to show how the model can be reduced in terms of complexity with sparsity and parsimony. All those models have been experimented, and the results arouse interest in those structures, in a sense that different structures help to reach different results in terms of Mean Squared Error (MSE) and Relative Root Mean Squared Error (RRMSE). For the Shallow Gibbs Network model, we have found the perfect learning framework : it is the $(l_1, \boldsymbol{\zeta}, \epsilon_{dbs})-\textbf{DBS}$ configuration, which is a combination of the \emph{Universal Approximation Theorem}, and the DBS optimization, coupled with the (\emph{dist})-Nearest Neighbor-(h)-Taylor Series-Perfect Multivariate Interpolation (\emph{dist}-NN-(h)-TS-PMI) model [which in turn is a combination of the research of the Nearest Neighborhood for a good Train-Test association, the Taylor Approximation Theorem, and finally the Multivariate Interpolation Method]. It indicates that, with an appropriate number $l_1$ of neurons on the hidden layer, an optimal number $\zeta$ of DBS updates, an optimal DBS learnnig rate $\epsilon_{dbs}$, an optimal distance \emph{dist}$_{opt}$ in the research of the nearest neighbor in the training dataset for each test data $x_i^{\mbox{test}}$, an optimal order $h_{opt}$ of the Taylor approximation for the Perfect Multivariate Interpolation (\emph{dist}-NN-(h)-TS-PMI) model once the {\bfseries DBS} has overfitted the training dataset, the train and the test error converge to zero (0). As the Potts Models and many random Partitions are based on a similarity measure, we open the door to find \emph{sufficient} invariants descriptors in any recognition problem for complex objects such as image; using \emph{metric} learning and invariance descriptor tools, to always reach 100\% accuracy. This is also possible with invariant networks that are also universal approximators. Our work closes the gap between the theory and the practice in artificial intelligence, in a sense that it confirms that it is possible to learn with very small error allowed.
Download or read book World Congress on Neural Networks written by Paul Werbos and published by Routledge. This book was released on 2021-09-10 with total page 916 pages. Available in PDF, EPUB and Kindle. Book excerpt: Centered around 20 major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its registrants -- from a diverse background encompassing industry, academia, and government -- with the latest research and applications in the neural network field.
Download or read book Artificial Neural Nets and Genetic Algorithms written by Rudolf F. Albrecht and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. By focussing on the process models rather than the processes themselves, significant new computational techniques have evolved which have found application in a large number of diverse fields. This diversity is reflected in the topics which are the subjects of contributions to this volume. There are contributions reporting theoretical developments in the design of neural networks, and in the management of their learning. In a number of contributions, applications to speech recognition tasks, control of industrial processes as well as to credit scoring, and so on, are reflected. Regarding genetic algorithms, several methodological papers consider how genetic algorithms can be improved using an experimental approach, as well as by hybridizing with other useful techniques such as tabu search. The closely related area of classifier systems also receives a significant amount of coverage, aiming at better ways for their implementation. Further, while there are many contributions which explore ways in which genetic algorithms can be applied to real problems, nearly all involve some understanding of the context in order to apply the genetic algorithm paradigm more successfully. That this can indeed be done is evidenced by the range of applications covered in this volume.
Download or read book Fast Learning and Invariant Object Recognition written by Branko Soucek and published by Wiley-Interscience. This book was released on 1992-05-07 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This applications-oriented book presents, for the first time, Learning-Generalization-Seeing-Recognition Hybrids. Numerous new learning algorithms are described, including holographic networks, adaptive decoupled momentum, feature construction, second-order gradient, and adaptive-symbolic methods. Object recognition systems in real-time applications are presented and include massively parallel and systolic array implementations. These systems exhibit up to 2 billion operations and over 300 billion connections per second. Position, scale and rotation invariant systems for industrial machine vision are presented, including testing of IC chips; flying object recognition; space shuttle and aircraft experiments; detection of moving objects; shape recognition in manufacturing; recognition of occluded objects; biomedical image classification; three-dimensional ultrasonic imaging in clinical ophthalmology, and others. New invariant object recognition paradigms include orthogonal sets of feature layers; higher-order neural networks; detection of movement-attention-tracking; landmark matching; segmentation of three-dimensional images; dynamic links on the reduced mesh of trees. Fast Learning and Invariant Object Recognition presents a unified treatment of material that has previously been scattered worldwide in a number of research reports, as well as previously unpublished methods and results from the IRIS (Integration of Reasoning, Informing and Serving) Group.
Download or read book World Congress on Neural Networks San Diego written by and published by Psychology Press. This book was released on 1994 with total page 916 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Building Neural Networks written by David M. Skapura and published by Addison-Wesley Professional. This book was released on 1996 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organized by application areas, rather than by specific network architectures or learning algorithms, Building Neural Networks shows why certain networks are more suitable than others for solving specific kinds of problems. Skapura also reviews principles of neural information processing and furnishes an operations summary of the most popular neural-network processing models.
Download or read book Better Life and Business written by Branko Souček and published by Bentham Science Publishers. This book was released on 2013-05-21 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Better Life and Business: Cell, Brain, Mind and Sex Universal Laws is an e-book that defines the fascinating new discipline: BRAINLIFEBIZ . BRAINLIFEBIZ combines new discoveries in neurobiology, behavior and medicine with novel concepts related to conscious software programming, automation, system adaptation, module selection , self -organization and automatic discovery. In other words, BRAINLIFEBIZ is a science of the consciousness, bio quantum / random chaos computations, self-organized event trains and processes with several conditions (continuous and discrete; without leadership and central control etc.). The goal of BRAINLIFEBIZ is to create a perfect computer model that simulates animal and human behavior in a computerized experimental setting. This volume presents simulations of the firefly, cricket, katydid, frog, bird and human prefrontal cortex. The book breaks across the lines that separate scientific disciplines. It explains the global nature of the specific intelligent systems outlined above. These intelligent systems features include learning, self- organization, fuzzy logic, high speed signal processing and process control. These features are employed to generate an intelligence map. The map presents figures and equations, curves and data for major ‘Elementary Processes’: aggression, mimicry, chaos, trains, pile up, attractions, courting, mating, emotion, reasoning and consciousness . ‘Elementary Processes’ are then simulated to interact with each other and form millions of complex processes explained by universal laws behind the cell, brain, mind, sex. These laws explain, in a new way, natural selection and reproductive success in the local and global society and business. These laws can be applied in a variety of situations - from everyday stress-free life, to intelligent business decision making, but with a solid biomedical and scientific foundation. The theory behind intelligent systems can be viewed as a complement to the genetic DNA code. The brain generates various brain event trains which allow it to store information in dispersed neural networks (biologically speaking, in 25 billions of neurons some of which with thousands of synapses dispersed over the cortex). The book explains the fast, precise and clear neural diagnostic process as well as the extremely flexible powerful leader mind. Better Life and Business: Cell, Brain, Mind and Sex Universal Laws is, therefore, a valuable reference for researchers to the fascinating world of natural and man -made intelligent systems and their applications in business situations and personal lives.
Download or read book Intelligent Systems Report written by and published by . This book was released on 1991 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Application of Computers and Operations Research in the Mineral Industry written by and published by . This book was released on 1995 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Mathematical Communications written by and published by . This book was released on 1996 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: