Automatic generation of a neural network architecture using evolutionary computation

This paper reports the application of evolutionary computation in the automatic generation of a neural network architecture.It is a usual practice to use trial and error to find a suitable neural network architecture. This is not only time consuming but may not generate an optimal solution for a given problem. The use of evolutionary computation is a step towards automation in neural network architecture generation. In this paper a brief introducuon to the field is given as well as an implementation of automatic neural network generation using genetic programming.

• Type: Conference
• Year: 1995
• Where: ETD2000
• Authors: E. Vonk, Lakhmi C. Jain, L. P. J. Veelenturf, R. Johnson
• Keywords: ETD2000 1995, Neural Network, Neural Network Architecture, Neural Network Architecture.It, Theoretical Computer Science