This book introduces a variety of neural network methods for solving differential equations arising in science and engineering. The emphasis is placed on a deep

Differential equations play a vital role in the fields of engineering and science. Problems in engineering and science can be modeled using ordinary or partial

Semi-empirical Neural Network Modeling presents a new approach on how to quickly construct an accurate, multilayered neural network solution of differential equ

The aim of this book is to handle different application problems of science and engineering using expert Artificial Neural Network (ANN). As such, the book star

The two-volume set LNAI 12854 and 12855 constitutes the refereed proceedings of the 20th International Conference on Artificial Intelligence and Soft Computing,