Neural Network Constructive Algorithms Trading Generalization For Learning Efficiency

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Neural Network Constructive Algorithms: Trading Generalization for Learning Efficiency?

Author : Frank J. Śmieja
Publisher :
ISBN 13 :
Total Pages : 33 pages
Book Rating : 4.:/5 (349 download)

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Book Synopsis Neural Network Constructive Algorithms: Trading Generalization for Learning Efficiency? by : Frank J. Śmieja

Download or read book Neural Network Constructive Algorithms: Trading Generalization for Learning Efficiency? written by Frank J. Śmieja and published by . This book was released on 1992 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "There are currently several types of constructive, or growth, algorithms available for training a feed-forward neural network. This paper describes and explains the main ones, using a fundamental approach to the multi-layer perceptron problem-solving mechanisms. The claimed convergence properties of the algorithms are verified using just two mapping theorems, which consequently enables all the algorithms to be unified under a basic mechanism. The algorithms are compared and contrasted and the deficiencies of some highlighted. The fundamental reasons for the actual success of these algorithms are extracted, and used to suggest where they might most fruitfully be applied. A suspicion that they are not a panacea for all current neural network difficulties, and that one must somewhere along the line pay for the learning efficiency they promise, is developed into an argument that their generalization abilities will lie on average below that of back-propagation."

Neural network constructive algorithms

Author : Frank Śmieja
Publisher :
ISBN 13 :
Total Pages : 33 pages
Book Rating : 4.:/5 (753 download)

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Book Synopsis Neural network constructive algorithms by : Frank Śmieja

Download or read book Neural network constructive algorithms written by Frank Śmieja and published by . This book was released on 1992 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Constructive Neural Networks

Author : Leonardo Franco
Publisher : Springer Science & Business Media
ISBN 13 : 3642045111
Total Pages : 296 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Constructive Neural Networks by : Leonardo Franco

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.

Emergent Computing Methods in Engineering Design

Author : D.E. Grierson
Publisher : Springer Science & Business Media
ISBN 13 : 9783540608738
Total Pages : 364 pages
Book Rating : 4.6/5 (87 download)

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Book Synopsis Emergent Computing Methods in Engineering Design by : D.E. Grierson

Download or read book Emergent Computing Methods in Engineering Design written by D.E. Grierson and published by Springer Science & Business Media. This book was released on 1996-06-18 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers in this book show the tremendous potential of emerging computing paradigms such as genetic algorithms, evolutionary computing, and neural networks for solving problems of engineering design.

Artificial Neural Networks - ICANN 2008

Author : Vera Kurkova-Pohlova
Publisher : Springer
ISBN 13 : 354087559X
Total Pages : 1012 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Artificial Neural Networks - ICANN 2008 by : Vera Kurkova-Pohlova

Download or read book Artificial Neural Networks - ICANN 2008 written by Vera Kurkova-Pohlova and published by Springer. This book was released on 2008-08-29 with total page 1012 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The second volume is devoted to pattern recognition and data analysis, hardware and embedded systems, computational neuroscience, connectionistic cognitive science, neuroinformatics and neural dynamics. it also contains papers from two special sessions coupling, synchronies, and firing patterns: from cognition to disease, and constructive neural networks and two workshops new trends in self-organization and optimization of artificial neural networks, and adaptive mechanisms of the perception-action cycle.

Ferroelectrics

Author : Mickaël Lallart
Publisher : BoD – Books on Demand
ISBN 13 : 9533074566
Total Pages : 266 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Ferroelectrics by : Mickaël Lallart

Download or read book Ferroelectrics written by Mickaël Lallart and published by BoD – Books on Demand. This book was released on 2011-08-23 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ferroelectric materials have been and still are widely used in many applications, that have moved from sonar towards breakthrough technologies such as memories or optical devices. This book is a part of a four volume collection (covering material aspects, physical effects, characterization and modeling, and applications) and focuses on the application of ferroelectric devices to innovative systems. In particular, the use of these materials as varying capacitors, gyroscope, acoustics sensors and actuators, microgenerators and memory devices will be exposed, providing an up-to-date review of recent scientific findings and recent advances in the field of ferroelectric devices.

New Trends in Neural Computation

Author : José Mira
Publisher : Springer Science & Business Media
ISBN 13 : 9783540567981
Total Pages : 772 pages
Book Rating : 4.5/5 (679 download)

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Book Synopsis New Trends in Neural Computation by : José Mira

Download or read book New Trends in Neural Computation written by José Mira and published by Springer Science & Business Media. This book was released on 1993-05-27 with total page 772 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural computation arises from the capacity of nervous tissue to process information and accumulate knowledge in an intelligent manner. Conventional computational machines have encountered enormous difficulties in duplicatingsuch functionalities. This has given rise to the development of Artificial Neural Networks where computation is distributed over a great number of local processing elements with a high degree of connectivityand in which external programming is replaced with supervised and unsupervised learning. The papers presented in this volume are carefully reviewed versions of the talks delivered at the International Workshop on Artificial Neural Networks (IWANN '93) organized by the Universities of Catalonia and the Spanish Open University at Madrid and held at Barcelona, Spain, in June 1993. The 111 papers are organized in seven sections: biological perspectives, mathematical models, learning, self-organizing networks, neural software, hardware implementation, and applications (in five subsections: signal processing and pattern recognition, communications, artificial vision, control and robotics, and other applications).

Evolution of Engineering and Information Systems and Their Applications

Author : Lakhmi C. Jain
Publisher : CRC Press
ISBN 13 : 9780849319655
Total Pages : 334 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Evolution of Engineering and Information Systems and Their Applications by : Lakhmi C. Jain

Download or read book Evolution of Engineering and Information Systems and Their Applications written by Lakhmi C. Jain and published by CRC Press. This book was released on 1999-09-24 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Worldwide interest in the applications of evolutionary computing techniques to the design of engineering and information systems grows each day. Pattern recognition, control systems, factory scheduling, automation, generation of computer programs, and the design of intelligent paradigms all benefit from evolutionary techniques-their potential applications indeed seem limited only by the imaginations of scientists and engineers. This is an area of intensive research and development, and evolutionary computing techniques are themselves constantly evolving. It becomes important, then, that computer scientists and applications engineers have a working knowledge of the techniques, stay abreast of recent advances, and have the opportunity to incorporate them into their own systems and designs. Evolution of Engineering and Information Systems and Their Applications fills this need by providing an overview of the field and offering state-of-the-art reviews of the most important techniques and applications of evolutionary computing. The top experts from around the world discuss developments in genetic algorithms, genetic programming, and evolutionary strategies and applications including VLSI CAD, robot sensors, neural networks, and fuzzy classification systems. This is a new and very hot field, yet there are few-if any-resources that document and disseminate its advances. With Evolution of Engineering and Information Systems and Their Applications, you have the opportunity to learn from the leading authorities, use these powerful techniques to improve your own systems, and help evolutionary computing reach its nearly boundless potential.

Computational Intelligence and Intelligent Systems

Author : Kangshun Li
Publisher : Springer
ISBN 13 : 9811316481
Total Pages : 607 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Computational Intelligence and Intelligent Systems by : Kangshun Li

Download or read book Computational Intelligence and Intelligent Systems written by Kangshun Li and published by Springer. This book was released on 2018-07-20 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 873 and CCIS 874) constitutes the thoroughly refereed proceedings of the 9th International Symposium, ISICA 2017, held in Guangzhou, China, in November 2017.The 101 full papers presented in both volumes were carefully reviewed and selected from 181 submissions. This first volume is organized in topical sections on neural networks and statistical learning: neural architecture search, transfer of knowledge; evolutionary multi-objective and dynamic optimization: optimal control and design, hybrid methods; data mining: association rule learning, data management platforms; Cloud computing and multiagent systems: service models, Cloud engineering; everywhere connectivity: IoT solutions, wireless sensor networks.

Dealing with Complexity

Author : Mirek Karny
Publisher : Springer Science & Business Media
ISBN 13 : 1447115236
Total Pages : 323 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Dealing with Complexity by : Mirek Karny

Download or read book Dealing with Complexity written by Mirek Karny and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: In almost all areas of science and engineering, the use of computers and microcomputers has, in recent years, transformed entire subject areas. What was not even considered possible a decade or two ago is now not only possible but is also part of everyday practice. As a result, a new approach usually needs to be taken (in order) to get the best out of a situation. What is required is now a computer's eye view of the world. However, all is not rosy in this new world. Humans tend to think in two or three dimensions at most, whereas computers can, without complaint, work in n dimensions, where n, in practice, gets bigger and bigger each year. As a result of this, more complex problem solutions are being attempted, whether or not the problems themselves are inherently complex. If information is available, it might as well be used, but what can be done with it? Straightforward, traditional computational solutions to this new problem of complexity can, and usually do, produce very unsatisfactory, unreliable and even unworkable results. Recently however, artificial neural networks, which have been found to be very versatile and powerful when dealing with difficulties such as nonlinearities, multivariate systems and high data content, have shown their strengths in general in dealing with complex problems. This volume brings together a collection of top researchers from around the world, in the field of artificial neural networks.

Handbook of Neural Computation

Author : E Fiesler
Publisher : CRC Press
ISBN 13 : 1420050648
Total Pages : 1094 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Handbook of Neural Computation by : E Fiesler

Download or read book Handbook of Neural Computation written by E Fiesler and published by CRC Press. This book was released on 2020-01-15 with total page 1094 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl

Neural Networks: Artificial Intelligence and Industrial Applications

Author : Bert Kappen
Publisher : Springer Science & Business Media
ISBN 13 : 1447130871
Total Pages : 398 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Neural Networks: Artificial Intelligence and Industrial Applications by : Bert Kappen

Download or read book Neural Networks: Artificial Intelligence and Industrial Applications written by Bert Kappen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks is a field of research which has enjoyed rapid expansion in both the academic and industrial research communities. This volume contains papers presented at the Third Annual SNN Symposium on Neural Networks to be held in Nijmegen, The Netherlands, 14 - 15 September 1995. The papers are divided into two sections: the first gives an overview of new developments in neurobiology, the cognitive sciences, robotics, vision and data modelling. The second presents working neural network solutions to real industrial problems, including process control, finance and marketing. The resulting volume gives a comprehensive view of the state of the art in 1995 and will provide essential reading for postgraduate students and academic/industrial researchers.

Proceedings

Author :
Publisher :
ISBN 13 :
Total Pages : 874 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Proceedings by :

Download or read book Proceedings written by and published by . This book was released on 2005 with total page 874 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Constructive Algorithms for Structure Learning in Feedforward Neural Networks

Author : Tin-yau Kwok
Publisher :
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.:/5 (358 download)

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Book Synopsis Constructive Algorithms for Structure Learning in Feedforward Neural Networks by : Tin-yau Kwok

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:

Spiking Neural Network Learning, Benchmarking, Programming and Executing

Author : Guoqi Li
Publisher : Frontiers Media SA
ISBN 13 : 2889637670
Total Pages : 234 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Spiking Neural Network Learning, Benchmarking, Programming and Executing by : Guoqi Li

Download or read book Spiking Neural Network Learning, Benchmarking, Programming and Executing written by Guoqi Li and published by Frontiers Media SA. This book was released on 2020-06-05 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The 1994 IEEE International Conference on Neural Networks

Author :
Publisher : IEEE Computer Society Press
ISBN 13 :
Total Pages : 696 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis The 1994 IEEE International Conference on Neural Networks by :

Download or read book The 1994 IEEE International Conference on Neural Networks written by and published by IEEE Computer Society Press. This book was released on 1994 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt:

On Efficient Learning Algorithms for Neural Networks

Author : Mostefa Golea
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (872 download)

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Book Synopsis On Efficient Learning Algorithms for Neural Networks by : Mostefa Golea

Download or read book On Efficient Learning Algorithms for Neural Networks written by Mostefa Golea and published by . This book was released on 1993 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inductive Inference Learning can be described in terms of finding a good approximation to some unknown classification rule f, based on a pre-classified set of training examples $\langle$x, f(x)$\rangle.$ One particular class of learning systems that has attracted much attention recently is the class of neural networks. But despite the excitement generated by neural networks, learning in these systems has proven to be a difficult task. In this thesis, we investigate different ways and means to overcome the difficulty of training feedforward neural networks. Our goal is to come up with efficient learning algorithms for new classes (or architectures) of neural nets. In the first approach, we relax the constraint of fixed architecture adopted by most neural learning algorithms. We describe two constructive learning algorithms for two-layer and tree-like networks. In the second approach, we adopt the "probably approximately correct" (PAC) learning model and we look for positive learnability results by restricting the distribution generating the training examples, the connectivity of the networks, and/or the weight values. This enables us to identify new classes of neural networks that are efficiently learnable in the chosen setting. In the third and final approach, we look at the problem of learning in neural networks from the average case point of view. In particular, we investigate the average case behavior of the well known clipped Hebb rule when learning different neural networks with binary weights. The arguments given for the "efficient learnability" range from extensive simulations to rigorous mathematical proofs.