Artificial Neural Networks - Architectures and Applications
Artificial Neural Networks (ANN) may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of architectures, methodologies, and applications of artificial neural networks.
The book consists of two parts: the architecture part covers architectures, design, optimization, and analysis of artificial neural networks; the applications part covers applications of artificial neural networks in a wide range of areas including biomedical, industrial, physics, and financial applications. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks. The target audience of this book includes college and graduate students, and engineers in companies.
| Pages : | 264 pages |
| Size : | PDF files |
| File type : | |
| Downloads: | 30 |
| Created: | 2020-08-28 |
| License: | Attribution 3.0 Unported (CC BY 3.0) |
| Author(s): | Kenji Suzuki |
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Neural Networks and Deep Learning
Artificial Neural Networks - Models and Applications
Artificial Neural Networks - Methodological Advances and Biomedical Applications
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