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- Springer 2012; US$ 259.00
Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more than 10,000 works have been based on SOMs. SOMs are unsupervised neural networks useful for clustering and visualization purposes. Many SOM applications have been developed in engineering and science, and other fields.This book contains refereed papers... more...
- Springer 2013; US$ 179.00
This volume collects a selection of contributions which has been presented at the 22nd Italian Workshop on Neural Networks, the yearly meeting of the Italian Society for Neural Networks (SIREN). The conference was held in Italy, Vietri sul Mare (Salerno), during May 17-19, 2012. The annual meeting of SIREN is sponsored by International Neural Network... more...
- Wiley 2013; US$ 129.00
Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applications Complex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly... more...
- World Scientific Publishing Company 1993; US$ 189.00
Over the past few years, there has been a surge of research activities on artificial neural networks. Although the thrust originally came from computer scientists and electrical engineers, neural network research has recently attracted researchers in the fields of operations research, operations management and industrial engineering.Despite the huge... more...
- Taylor and Francis 2013; US$ 260.00
Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, this book has been assembled to present a sample of these... more...
- Springer 2013; US$ 179.00
This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks Approximation capabilities of neural networks Semi-supervised... more...
- World Scientific Publishing Company 1999; US$ 87.00
This book presents in detail the newly developed sequential learning algorithm for radial basis function neural networks, which realizes a minimal network. This algorithm, created by the authors, is referred to as Minimal Resource Allocation Networks (MRAN). The book describes the application of MRAN in different areas, including pattern recognition,... more...
- De Gruyter 2002; US$ 133.00
Seit vier Jahrzehnten das Standardwerk zur Systemtheorie! Die Themen des ersten Bandes - Allgemeine Grundlagen und Signale sowie lineare Systeme im Zeit- und Frequenzbereich - werden im zweiten Band um mehrdimensionale, adaptive und nichtlineare Systeme sowie um die Chaostheorie und die neuronalen Systeme erweitert. Damit wird der Weiterentwicklung... more...
- Taylor and Francis 2013; US$ 63.95
The second published collection based on a conference sponsored by the Metroplex Institute for Neural Dynamics -- the first is Motivation, Emotion, and Goal Direction in Neural Networks (LEA, 1992) -- this book addresses the controversy between symbolicist artificial intelligence and neural network theory. A particular issue is how well neural networks... more...
- Morgan & Claypool Publishers 2014; US$ 40.00
Solving challenging computational problems involving time has been a critical component in the development of artificial intelligence systems almost since the inception of the field. This book provides a concise introduction to the core computational elements of temporal reasoning for use in AI systems for planning and scheduling, as well as systems... more...