|Название: Recent Advances in Artificial Neural Networks
Автор: L.C. Jain
Издательство: CRC Press
Формат: pdf (true)
Размер: 12.1 MB
Neural networks are a new generation of information processing paradigms designed to mimic some of the behaviors of the human brain for solving artificial intelligence (AI) problems. They can learn, recall, and generalize from training data, and with their potential applications limited only by the imaginations of scientists and engineers, they are commanding tremendous popularity and research interest. A number of neural network paradigms have been reported in the last four decades, and in the last decade the neural networks have been refined and widely used by researchers and application engineers.
Recent Advances in Artificial Neural Networks collects the latest neural network paradigms and reports on their promising new applications. It is impossible to include all recent advances in this book; hence, only a sample has been included. World-renowned experts discuss the use of neural networks in pattern recognition, color induction, classification, cluster detection, and more. Application engineers, scientists, and research students from all disciplines with an interest in considering neural networks for solving real-world problems will find this collection useful.
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