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Computer Science - Artificial Intelligence | Process Neural Networks - Theory and Applications

Process Neural Networks

Theory and Applications

He, Xingui, Xu, Shaohua

Jointly published with Zhejiang University Press

2010, 240p. 78 illus..

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  • Proposes a concept and model for a process neural network for the first time
  • Shows how and why a process neural network improves the expressing capability of artificial neural networks
  • Proves the theory and properties of process neural networks, such as continuity, functional approximation ability, and computing power
  • Demonstrates how a process neural network can process time-varying signals directly and can solve many practical process problems
  • Constructs multiform process neural network models and learning algorithms designed for practical applications

Part of the innovative series Advanced Topics in Science and Technology in China, this book sets forth the concept and model for a process neural network for the first time. You’ll learn how a process neural network expands the mapping relationship between the input and output of traditional neural networks. You’ll also discover how these networks greatly enhance the expression capability of artificial neural networks.

With its problem-solving approach, the book demonstrates how and why a process neural network can process time-varying signals directly and therefore has great potential for solving many practical process issues. The authors provide strict proof for theoretical problems such as continuity, functional approximation capability, and computing capability. Application methods, network construction principles, and optimization algorithms of process neural networks in practical fields are covered in detail.

Throughout this volume, detailed illustrations help you visualize the information processing flow and the mapping relationship between inputs and outputs of process neural networks.

Content Level » Research

Keywords » ATSTC - Artificial Neural Networks - Pattern Recognition - Process Control - Signal Processing - System Identification - ZJUP - algorithms - artificial neural network - cognition - learning - modeling - neural network - optimization - system modeling

Related subjects » Artificial Intelligence - Image Processing

Table of contents 

Artificial Neural Networks.- Process Neurons.- Feedforward Process Neural Networks.- Learning Algorithms for Process Neural Networks.- Feedback Process Neural Networks.- Multi-aggregation Process Neural Networks.- Design and Construction of Process Neural Networks.- Application of Process Neural Networks.

Distribution rights 

Distribution rights in China: Zhejiang University Press

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