Intelligent Computing: Several Theoretical Issues and Their Applications

Author: Liang Jiuzhen
Publisher:
Publish Date: 2007-01-01
Features: This book details recent research progress and applications in intelligent computing. It summarizes the fundamental characteristics of intelligent systems, reviews the latest research developments in neural networks, fuzzy logic, and fuzzy neural networks, incorporates evolutionary computing concepts into neural networks, proposes basic ideas such as evolutionary neural networks, and highlights that evolutionary fuzzy neural networks are a significant feature of intelligent systems. The main content covers the computational capability of fuzzy neural network models, the function approximation ability of fuzzy operator neural networks, the mapping mechanisms of neural networks, the learning algorithms and dynamic properties of neural networks, rational neural network models, new genetic algorithms that utilize the gradient or trend of the objective function, process neural network models, and the application of intelligent computing in content-based automatic classification systems for Chinese web pages. This book compiles the author's recent research achievements and the latest research progress in the field, representing important research topics in current intelligent computing. It can serve as a selective textbook for senior undergraduate and graduate students in computer science, artificial intelligence, and information science. It can also be used as a reference book for graduate students in artificial intelligence, neural networks, and fuzzy neural networks in computer-related fields at universities. Additionally, it serves as a reference for faculty, researchers, and engineering professionals engaged in the theory and application of intelligent computing. The main content of the book involves the computational capability of fuzzy neural network models, the function approximation ability of fuzzy operator neural networks, the mapping mechanisms of neural networks, the learning algorithms and dynamic properties of neural networks, and more.