Neural Network Clasroom

The Best Machine Learning Techniques for Data Science in Java and Neuroph with Application in Image Recognition

This innovative work explores integrating emerging research into how the brain processes information in applied therapeutic interventions. Typically, clinicians select therapeutic interventions based on their own training, personal experience or preference. This book aims to provide a new model, based upon the neural networks, to both understand the development of mental health issues and their persistence, and how and why to apply therapeutic interventions to impact the systems which are maintaining them.

A gentle journey through the mathematics of neural networks, and making your own using the Python computer language.

This book introduces a variety of neural network methods for solving differential equations arising in science and engineering.

This book describes the application of evolutionary computation in the automatic generation of a neural network architecture. The architecture has a significant influence on the performance of the neural network. It is the usual practice to use trial and error to find a suitable neural network architecture for a given problem.