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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
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 in China: Zhejiang University Press