Constructive Algorithms for Structure Learning in Feedforward Neural Networks
Author: Tin-yau Kwok
Publisher:
Published: 1996
Total Pages: 328
ISBN-13:
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Constructive Neural Networks
Author: Leonardo Franco
Publisher: Springer Science & Business Media
Published: 2009-10-27
Total Pages: 296
ISBN-13: 3642045111
DOWNLOAD EBOOKThis 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.
Advances in Neural Networks - ISNN 2006
Author: Jun Wang
Publisher: Springer
Published: 2006-05-10
Total Pages: 1507
ISBN-13: 3540344403
DOWNLOAD EBOOKThis 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.
Artificial Intelligence and Soft Computing, Part I
Author: Leszek Rutkowski
Publisher: Springer Science & Business Media
Published: 2010-06
Total Pages: 695
ISBN-13: 3642132073
DOWNLOAD EBOOKThe LNAI series reports state-of-the-art results in artificial intelligence research, development, education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNAI has grown into the most comprehensive artificial intelligence research forum available. The scope of LNAI spans the whole range of artificial intelligence and intelligent information processing including interdisciplinary topics in a variety of application fields.
Medical Data Analysis
Author: Jose Crespo
Publisher: Springer Science & Business Media
Published: 2001-09-28
Total Pages: 322
ISBN-13: 3540427341
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the Second International Symposium on Medical Data Analysis, ISMDD 2001, held in Madrid, Spain, in October 2001. The 43 revised papers presented together with three invited keynote papers were carefully reviewed and selected from 72 submissions. Among the issues addressed are data analysis and diagnosis, classification, clustering, medical image analysis, Bayesian networks, decision support systems, fuzzy modeling, time series analysis, collaborative filtering, pattern recognition, case-based reasoning, rule-based inference, and computer vision.
Exploratory Analysis of Metallurgical Process Data with Neural Networks and Related Methods
Author: C. Aldrich
Publisher: Elsevier
Published: 2002-04-19
Total Pages: 387
ISBN-13: 0080531466
DOWNLOAD EBOOKThis volume is concerned with the analysis and interpretation of multivariate measurements commonly found in the mineral and metallurgical industries, with the emphasis on the use of neural networks. The book is primarily aimed at the practicing metallurgist or process engineer, and a considerable part of it is of necessity devoted to the basic theory which is introduced as briefly as possible within the large scope of the field. Also, although the book focuses on neural networks, they cannot be divorced from their statistical framework and this is discussed in length. The book is therefore a blend of basic theory and some of the most recent advances in the practical application of neural networks.
Modern Heuristic Optimization Techniques
Author: Kwang Y. Lee
Publisher: John Wiley & Sons
Published: 2008-02-08
Total Pages: 624
ISBN-13: 0471457116
DOWNLOAD EBOOKThis book explores how developing solutions with heuristic tools offers two major advantages: shortened development time and more robust systems. It begins with an overview of modern heuristic techniques and goes on to cover specific applications of heuristic approaches to power system problems, such as security assessment, optimal power flow, power system scheduling and operational planning, power generation expansion planning, reactive power planning, transmission and distribution planning, network reconfiguration, power system control, and hybrid systems of heuristic methods.
Emerging Technologies in Non-Destructive Testing V
Author: Alkiviadis S. Paipetis
Publisher: CRC Press
Published: 2012-01-26
Total Pages: 526
ISBN-13: 0415621313
DOWNLOAD EBOOKNon-destructive evaluation (NDE) methods have dominated most of the fields of applied research and technology over the last twenty years. These techniques provide information on the functional efficiency of materials and structures without causing any structural impact on the structure itself. Their use enables the monitoring of the structural integrity, the structural condition as well as the service in-duced degradation of materials and structures during their service life. In this respect, they address a vast field of applications ranging from the aerospace and automotive industry to civil engineering structures and material quality control. This volume comprises scientific papers presented during the Fifth Conference on Emerging Technologies in Non-Destructive Testing (Ioannina, Greece, 19–21 September 2011). A broad spectrum of related research was presented during the course of the conference, including optical, acoustic, thermal, electrical and electromagnetic methods together with imaging tomographic and signal processing techniques. Special attention was given to NDE for Civil Engineering Structures and for the first time in the conference series, a multiple session on NDE for the protection of cultural heritage was organized. Emerging Technologies in Non-Destructive Testing V contains contributions by experts in this field from 22 different countries worldwide. Reflecting the stateof-the-art in Non-Destructive Evaluation, the book will prove to be a valuable companion to students, engineers and industrial partners who are active in the field of non-destructive evaluation and testing. This volume will also provide students and researchers with insight into the focal points of contemporary research efforts in the field of non-destructive evaluation.
PRICAI 2000 Topics in Artificial Intelligence
Author: Riichiro Mizoguchi
Publisher: Springer
Published: 2007-12-07
Total Pages: 858
ISBN-13: 3540445331
DOWNLOAD EBOOKPRICAI 2000, held in Melbourne, Australia, is the sixth Pacific Rim Interna tional Conference on Artificial Intelligence and is the successor to the five earlier PRICAIs held in Nagoya (Japan), Seoul (Korea), Beijing (China), Cairns (Aus tralia) and Singapore in the years 1990, 1992, 1994, 1996 and 1998 respectively. PRICAI is the leading conference in the Pacific Rim region for the presenta tion of research in Artificial Intelligence, including its applications to problems of social and economic importance. The objectives of PRICAI are: To provide a forum for the introduction and discussion of new research results, concepts and technologies; To provide practising engineers with exposure to and an evaluation of evolving research, tools and practices; To provide the research community with exposure to the problems of practical applications of AI; and To encourage the exchange of AI technologies and experience within the Pacific Rim countries. PRICAI 2000 is a memorial event in the sense that it is the last one in the 20"" century. It reflects what researchers in this region believe to be promising for their future AI research activities. In fact, some salient features can be seen in the papers accepted. We have 12 papers on agents, while PRICAI 96 and 98 had no more than two or three. This suggests to us one of the directions in which AI research is going in the next century. It is true that agent research provides us with a wide range of research subjects from basic ones to applications.
Deep Learning in Science
Author: Pierre Baldi
Publisher: Cambridge University Press
Published: 2021-07
Total Pages: 387
ISBN-13: 1108845355
DOWNLOAD EBOOKRigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.
