Recurrent neural networks

The tremendous worldwide interest in the design and applications of recurrent neural networks prompts this volume compiling chapters contributed by leading experts in the field. Neural networks permit backward connections between nodes, resulting in dynamical behavior that is very useful in solving many real problems in science, engineering, and business. This book presents the design and selected applications of recurrent neural network paradigms.

An introduction to recurrent neural networks. Recurrent neural network training. Language recognition using recurrent neural networks. Recurrent neural networks as finite state machines. Constructive learning of recurrent neural networks. Elman recurrent neural networkd. Recurrent neural networks for solving assignment problems. Recurrent neural networks in periodic learning. Recurrent neural networks as associative memory.