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Author : Jani Lahnajärvi
Publisher :
ISBN 13 : 9789521507441
Total Pages : 114 pages
Book Rating : 4.5/5 (74 download)
Download or read book Structure Learning with Constructive Neural Networks written by Jani Lahnajärvi and published by . This book was released on 2001 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Tin-yau Kwok
Publisher :
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.:/5 (358 download)
Download or read book Constructive Algorithms for Structure Learning in Feedforward Neural Networks written by Tin-yau Kwok and published by . This book was released on 1996 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Leonardo Franco
Publisher : Springer Science & Business Media
ISBN 13 : 3642045111
Total Pages : 296 pages
Book Rating : 4.6/5 (42 download)
Download or read book Constructive Neural Networks written by Leonardo Franco and published by Springer Science & Business Media. This book was released on 2009-10-27 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of invited works that consider constructive methods for neural networks, taken primarily from papers presented at a special th session held during the 18 International Conference on Artificial Neural Networks (ICANN 2008) in September 2008 in Prague, Czech Republic. The book is devoted to constructive neural networks and other incremental learning algorithms that constitute an alternative to the standard method of finding a correct neural architecture by trial-and-error. These algorithms provide an incremental way of building neural networks with reduced topologies for classification problems. Furthermore, these techniques produce not only the multilayer topologies but the value of the connecting synaptic weights that are determined automatically by the constructing algorithm, avoiding the risk of becoming trapped in local minima as might occur when using gradient descent algorithms such as the popular back-propagation. In most cases the convergence of the constructing algorithms is guaranteed by the method used. Constructive methods for building neural networks can potentially create more compact and robust models which are easily implemented in hardware and used for embedded systems. Thus a growing amount of current research in neural networks is oriented towards this important topic. The purpose of this book is to gather together some of the leading investigators and research groups in this growing area, and to provide an overview of the most recent advances in the techniques being developed for constructive neural networks and their applications.
Author : Ke-Lin Du
Publisher : Springer Science & Business Media
ISBN 13 : 1846283035
Total Pages : 610 pages
Book Rating : 4.8/5 (462 download)
Download or read book Neural Networks in a Softcomputing Framework written by Ke-Lin Du and published by Springer Science & Business Media. This book was released on 2006-08-02 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms – powerful tools for neural-network learning – are introduced. The systematic survey of neural-network models and exhaustive references list will point readers toward topics for future research. The algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.
Author : International Neural Network Society
Publisher : Psychology Press
ISBN 13 : 9780805826081
Total Pages : 1408 pages
Book Rating : 4.8/5 (26 download)
Download or read book WCNN'96, San Diego, California, U.S.A. written by International Neural Network Society and published by Psychology Press. This book was released on 1996 with total page 1408 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Joan Cabestany
Publisher : Springer Science & Business Media
ISBN 13 : 3540262083
Total Pages : 1282 pages
Book Rating : 4.5/5 (42 download)
Download or read book Eighth International Work-Conference on Artificial and Natural Neural Networks written by Joan Cabestany and published by Springer Science & Business Media. This book was released on 2005-05-30 with total page 1282 pages. Available in PDF, EPUB and Kindle. Book excerpt: We present in this volume the collection of finally accepted papers of the eighth edition of the “IWANN” conference (“International Work-Conference on Artificial Neural Networks”). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evolutionary systems). Since the first edition of IWANN in Granada (LNCS 540, 1991), the Artificial Neural Network (ANN) community, and the domain itself, have matured and evolved. Under the ANN banner we find a very heterogeneous scenario with a main interest and objective: to better understand nature and beings for the correct elaboration of theories, models and new algorithms. For scientists, engineers and professionals working in the area, this is a very good way to get solid and competitive applications. We are facing a real revolution with the emergence of embedded intelligence in many artificial systems (systems covering diverse fields: industry, domotics, leisure, healthcare, ... ). So we are convinced that an enormous amount of work must be, and should be, still done. Many pieces of the puzzle must be built and placed into their proper positions, offering us new and solid theories and models (necessary tools) for the application and praxis of these current paradigms. The above-mentioned concepts were the main reason for the subtitle of the IWANN 2005 edition: “Computational Intelligence and Bioinspired Systems.” The call for papers was launched several months ago, addressing the following topics: 1. Mathematical and theoretical methods in computational intelligence.
Author : Gen Matsumoto
Publisher : World Scientific
ISBN 13 : 9814544353
Total Pages : 1119 pages
Book Rating : 4.8/5 (145 download)
Download or read book Methodologies For The Conception, Design And Application Of Soft Computing - Proceedings Of The 5th International Conference On Soft Computing And Information/intelligent Systems (In 2 Volumes) written by Gen Matsumoto and published by World Scientific. This book was released on 1998-08-25 with total page 1119 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing is the common name for a certain form of natural information processing that has its original form in biology, especially in the function of human brain. It is a discipline rooted in a group of technologies such as fuzzy logic, neural networks, chaos, genetic algorithms, probabilistic reasoning and learning algorithms. Today, soft computing has become an acknowledged concept; however, for a long time, such components of soft computing have been debated and individually developed.Since its beginning in 1990, the series of IIZUKA conferences has covered various kinds of technologies that constitute soft computing. This series has played a pioneering role in promoting the development of a symbiotic relationship between the various technologies of soft computing.At IIZUKA'98, the 5th International Conference on Soft Computing and Information/Intelligent Systems, new developments and results in this field were introduced and discussed by researchers from academic, governmental and industrial institutions around the world.This volume presents the opening lecture by Prof. Walter J Freeman, the keynote speech by Dr Gen Matsumoto, the plenary lectures by 5 eminent researchers and about 230 carefully selected papers drawn from more than 25 countries. It documents current research and in-depth studies on the fundamental aspects of soft computing and their practical applications.
Author : Hamed Farhadi
Publisher : BoD – Books on Demand
ISBN 13 : 1789237521
Total Pages : 231 pages
Book Rating : 4.7/5 (892 download)
Download or read book Machine Learning written by Hamed Farhadi and published by BoD – Books on Demand. This book was released on 2018-09-19 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume of data that is generated, stored, and communicated across different industrial sections, business units, and scientific research communities has been rapidly expanding. The recent developments in cellular telecommunications and distributed/parallel computation technology have enabled real-time collection and processing of the generated data across different sections. On the one hand, the internet of things (IoT) enabled by cellular telecommunication industry connects various types of sensors that can collect heterogeneous data. On the other hand, the recent advances in computational capabilities such as parallel processing in graphical processing units (GPUs) and distributed processing over cloud computing clusters enabled the processing of a vast amount of data. There has been a vital need to discover important patterns and infer trends from a large volume of data (so-called Big Data) to empower data-driven decision-making processes. Tools and techniques have been developed in machine learning to draw insightful conclusions from available data in a structured and automated fashion. Machine learning algorithms are based on concepts and tools developed in several fields including statistics, artificial intelligence, information theory, cognitive science, and control theory. The recent advances in machine learning have had a broad range of applications in different scientific disciplines. This book covers recent advances of machine learning techniques in a broad range of applications in smart cities, automated industry, and emerging businesses.
Author : John Fulcher
Publisher : Springer Science & Business Media
ISBN 13 : 3540782923
Total Pages : 1182 pages
Book Rating : 4.5/5 (47 download)
Download or read book Computational Intelligence: A Compendium written by John Fulcher and published by Springer Science & Business Media. This book was released on 2008-06-16 with total page 1182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence: A Compendium presents a well structured overview about this rapidly growing field with contributions of leading experts in Computational Intelligence. The main focus of the compendium is on applied methods tired-and-proven effective to realworld problems, which is especially useful for practitioners, researchers, students and also newcomers to the field. The 25 chapters are grouped into the following themes: I. Overview and Background II. Data Preprocessing and Systems Integration III. Artificial Intelligence IV. Logic and Reasoning V. Ontology VI. Agents VII. Fuzzy Systems VIII. Artificial Neural Networks IX. Evolutionary Approaches X. DNA and Immune-based Computing.
Author : Maria Carmo Nicoletti
Publisher : Springer
ISBN 13 : 3642018882
Total Pages : 349 pages
Book Rating : 4.6/5 (42 download)
Download or read book Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control written by Maria Carmo Nicoletti and published by Springer. This book was released on 2009-07-09 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence (CI) and Bioprocess are well-established research areas which have much to offer each other. Under the perspective of the CI area, Biop- cess can be considered a vast application area with a growing number of complex and challenging tasks to be dealt with, whose solutions can contribute to boosting the development of new intelligent techniques as well as to help the refinement and s- cialization of many of the already existing techniques. Under the perspective of the Bioprocess area, CI can be considered a useful repertoire of theories, methods and techniques that can contribute and offer interesting alternative approaches for solving many of its problems, particularly those hard to solve using conventional techniques. Although throughout the past years CI and Bioprocess areas have accumulated substantial specific knowledge and progress has been quick and with a high degree of success, we believe there is still a long way to go in order to use the potentialities of the available CI techniques and knowledge at their full extent, as tools for supporting problem solving in bioprocesses. One of the reasons is the fact that both areas have progressed steadily and have been continuously accumulating and refining specific knowledge; another reason is the high level of technical expertise demanded by each of them. The acquisition of technical skills, experience and good insights in either of the two areas is very demanding and a hard task to be accomplished by any professional.
Author : Nate F. Kohl
Publisher :
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.:/5 (78 download)
Download or read book Learning in Fractured Problems with Constructive Neural Network Algorithms written by Nate F. Kohl and published by . This book was released on 2009 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolution of neural networks, or neuroevolution, has been a successful approach to many low-level control problems such as pole balancing, vehicle control, and collision warning. However, certain types of problems -- such as those involving strategic decision-making -- have remained difficult to solve. This dissertation proposes the hypothesis that such problems are difficult because they are fractured: The correct action varies discontinuously as the agent moves from state to state. To evaluate this hypothesis, a method for measuring fracture using the concept of function variation of optimal policies is proposed. This metric is used to evaluate a popular neuroevolution algorithm, NEAT, empirically on a set of fractured problems. The results show that (1) NEAT does not usually perform well on such problems, and (2) the reason is that NEAT does not usually generate local decision regions, which would be useful in constructing a fractured decision boundary. To address this issue, two neuroevolution algorithms that model local decision regions are proposed: RBF-NEAT, which biases structural search by adding basis-function nodes, and Cascade-NEAT, which constrains structural search by constructing cascaded topologies. These algorithms are compared to NEAT on a set of fractured problems, demonstrating that this approach can improve performance significantly. A meta-level algorithm, SNAP-NEAT, is then developed to combine the strengths of NEAT, RBF-NEAT, and Cascade-NEAT. An evaluation in a set of benchmark problems shows that it is possible to achieve good performance even when it is not known a priori whether a problem is fractured or not. A final empirical comparison of these methods demonstrates that they can scale up to real-world tasks like keepaway and half-field soccer. These results shed new light on why constructive neuroevolution algorithms have difficulty in certain domains and illustrate how bias and constraint can be used to improve performance. Thus, this dissertation shows how neuroevolution can be scaled up from learning low-level control to learning strategic decision-making problems.
Author : Vassilios Petridis
Publisher : Springer Science & Business Media
ISBN 13 : 1461555558
Total Pages : 311 pages
Book Rating : 4.4/5 (615 download)
Download or read book Predictive Modular Neural Networks written by Vassilios Petridis and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of this book is predictive modular neural networks and their ap plication to time series problems: classification, prediction and identification. The intended audience is researchers and graduate students in the fields of neural networks, computer science, statistical pattern recognition, statistics, control theory and econometrics. Biologists, neurophysiologists and medical engineers may also find this book interesting. In the last decade the neural networks community has shown intense interest in both modular methods and time series problems. Similar interest has been expressed for many years in other fields as well, most notably in statistics, control theory, econometrics etc. There is a considerable overlap (not always recognized) of ideas and methods between these fields. Modular neural networks come by many other names, for instance multiple models, local models and mixtures of experts. The basic idea is to independently develop several "subnetworks" (modules), which may perform the same or re lated tasks, and then use an "appropriate" method for combining the outputs of the subnetworks. Some of the expected advantages of this approach (when compared with the use of "lumped" or "monolithic" networks) are: superior performance, reduced development time and greater flexibility. For instance, if a module is removed from the network and replaced by a new module (which may perform the same task more efficiently), it should not be necessary to retrain the aggregate network.
Author : Jose Mira
Publisher : Springer Science & Business Media
ISBN 13 : 9783540660682
Total Pages : 942 pages
Book Rating : 4.6/5 (66 download)
Download or read book Engineering Applications of Bio-Inspired Artificial Neural Networks written by Jose Mira and published by Springer Science & Business Media. This book was released on 1999-05-19 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes, together with its compagnion LNCS 1606, the refereed proceedings of the International Work-Conference on Artificial and Neural Networks, IWANN'99, held in Alicante, Spain in June 1999. The 91 revised papers presented were carefully reviewed and selected for inclusion in the book. This volume is devoted to applications of biologically inspired artificial neural networks in various engineering disciplines. The papers are organized in parts on artificial neural nets simulation and implementation, image processing, and engineering applications.
Author : Andrej Dobnikar
Publisher : Springer
ISBN 13 : 3642202829
Total Pages : 448 pages
Book Rating : 4.6/5 (422 download)
Download or read book Adaptive and Natural Computing Algorithms written by Andrej Dobnikar and published by Springer. This book was released on 2011-04-09 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 6593 and 6594 constitutes the refereed proceedings of the 10th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2010, held in Ljubljana, Slovenia, in April 2010. The 83 revised full papers presented were carefully reviewed and selected from a total of 144 submissions. The first volume includes 42 papers and a plenary lecture and is organized in topical sections on neural networks and evolutionary computation.
Author : Qianping Gu
Publisher : Springer
ISBN 13 : 3319079565
Total Pages : 355 pages
Book Rating : 4.3/5 (19 download)
Download or read book Algorithmic Aspects in Information and Management written by Qianping Gu and published by Springer. This book was released on 2014-06-10 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the International Conference on Algorithmic Aspects in Information and Management, AAIM 2014, held in Vancouver, BC, Canada, in July 2014. The 30 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 45 submissions. The topics cover most areas in discrete algorithms and their applications.
Author : Jun Wang
Publisher : Springer
ISBN 13 : 3540344403
Total Pages : 1507 pages
Book Rating : 4.5/5 (43 download)
Download or read book Advances in Neural Networks - ISNN 2006 written by Jun Wang and published by Springer. This book was released on 2006-05-10 with total page 1507 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is Volume I of a three volume set constituting the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006. 616 revised papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, data preprocessing, pattern classification, computer vision, image and signal processing, system modeling, robotic systems, transportation systems, communication networks, information security, fault detection, financial analysis, bioinformatics, biomedical and industrial applications, and more.
Author : Russell Reed
Publisher : MIT Press
ISBN 13 : 0262181908
Total Pages : 359 pages
Book Rating : 4.2/5 (621 download)
Download or read book Neural Smithing written by Russell Reed and published by MIT Press. This book was released on 1999-02-17 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural networks called multilayer perceptrons (MLP). These are the mostly widely used neural networks, with applications as diverse as finance (forecasting), manufacturing (process control), and science (speech and image recognition). This book presents an extensive and practical overview of almost every aspect of MLP methodology, progressing from an initial discussion of what MLPs are and how they might be used to an in-depth examination of technical factors affecting performance. The book can be used as a tool kit by readers interested in applying networks to specific problems, yet it also presents theory and references outlining the last ten years of MLP research.
