Neural Networks for Applied Sciences and Engineering

Discover the transformative power of neural networks with Neural Networks for Applied Sciences and Engineering by Sandhya Samarasinghe. Published by Taylor & Francis Ltd in 2006, this comprehensive hardback edition spans 594 pages and serves as an essential resource for anyone interested in the intersection of computer science and applied sciences.

This book begins with a thorough introduction to the pivotal role of neural networks in scientific data analysis, laying the groundwork for understanding fundamental concepts. It provides an in-depth overview of various neural network architectures tailored for practical data analysis, including discussions on linear networks and multi-layer perceptrons for effective nonlinear prediction.

Whether you are a student, researcher, or professional in the field, this book is designed to enhance your understanding and application of neural networks in diverse engineering and scientific contexts.