Intelligent Information Processing with Matlab

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This book is a comprehensive collection of technologies and methods on intelligent information processing, which includes artificial neural network, fuzzy logic, and evolutionary computing. It also introduces the latest research directions and progress in intelligent information processing, such as transfer learning through convolutional neural network, time series prediction, clustering based on fuzzy neural network, test and evaluation of the traveling salesman problem, test and evaluation of continuous optimization problem, and more. This book promotes the development and application of intelligent information processing technology in the field of computational intelligence, effectively improving the intersection and integration of intelligent information processing methods. Researchers in computational intelligence and artificial intelligence technology, as well as teachers, students, and others interested in the subject, will benefit from this book.

Author(s): Xiu Zhang; Xin Zhang; Wei Wang
Publisher: Springer Nature Singapore
Year: 20232

Language: English
Pages: 263

Cover
Front Matter
1. Artificial Neural Network
2. Convolutional Neural Network
3. Fuzzy Computing
4. Fuzzy Neural Network
5. Evolutionary Computing
6. Testing and Evaluation of Evolutionary Computing