Bestseller

Modern Approach in Artificial Neural Network

Modern Approach in Artificial Neural Network provides a clear and practical introduction to the principles, architectures, and applications of artificial neural networks. The book covers essential concepts such as neuron models, learning algorithms, multilayer networks, backpropagation, optimization, and modern deep learning approaches. With a balance of theoretical foundations and real-world applications, it is designed to help students, researchers, and professionals understand how neural networks are developed and applied to solve complex problems in artificial intelligence, pattern recognition, prediction, and data analysis.