eBook By Category (Neural Network)

An Introduction to Neural Networks falls into a new ecological niche for texts...

Two of the most important factors contributing to national and international economy are processing of information for accurate financial forecasting and decision making as well as processing of information for efficient control of manufacturing systems for increased productivity...

"This book offers an outlook of the most recent works at the field of the Artificial Neural Networks (ANN), including theoretical developments and applications of systems using intelligent characteristics for adaptability

Here we have a comprehensive, problem-oriented, engineering perspective on the uses of neural nets, fuzzy systems, and hybrids that emphasizes practical solutions to everyday artificial intelligence (AI) problems over abstract theoretical noodling...

Providing detailed examples of simple applications, this new book introduces the use of neural networks...

Integrates neural networks, fuzzy systems, and evolutionary computing in system design that enables its readers to handle complexity - off- setting the demerits of one paradigm by the merits of another...

Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy to overestimate their capabilities...

Portrays the concepts of statistical mechanics and cybernetics as bases for neural network modeling cohesively...

This book is one of the most up-to-date and cutting-edge texts available on the rapidly growing application area of neural networks...

This book provides a solid statistical foundation for neural networks from a pattern recognition perspective...

Conventional model-based data processing methods are computationally expensive and require experts’ knowledge for the modelling of a system; neural networks provide a model-free, adaptive, parallel-processing solution...

Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations...

"Neural Networks Theory is a major contribution to the neural networks literature...

A textbook for a graduate or advanced undergraduate course in neural networks for computer-science or engineering students...

Signal processing and neural computation have separately and significantly influenced many disciplines, but the cross-fertilization of the two fields has begun only recently...

The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more powerful methodology that is presented in this interesting book...

The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments...

New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing...