Description
Artificial Neural Networks Models and Applications is a comprehensive hardcover reference that delves into the theory, design, and implementation of neural network architectures. Published by INTECH in 2017, this authoritative work by Rosa J.L.G. offers detailed coverage of various ANN models and their diverse applications.
The book explores fundamental concepts of artificial neural networks, including network topology, learning algorithms, and training methodologies. It examines multiple neural network variants such as feedforward networks, recurrent networks, and convolutional architectures, providing both theoretical understanding and practical guidance.
With a focus on real-world applications, the text demonstrates how neural networks solve complex problems across industries including pattern recognition, image processing, data classification, and predictive modeling. The 2017 edition incorporates contemporary developments in deep learning and artificial intelligence, making it valuable for researchers, practitioners, and students seeking to understand modern neural network technologies and their implementation strategies.
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