Encoding neural networks for GA based structural construction

Investigates the direct encoding scheme in a neural network representation in the context of network construction using a genetic algorithm (GA). This paper addresses the use and the success of direct encoding schemes, in particular a specific scheme previously proposed by B.C. Kothari and I.I. Esat (1st World Conf. in Integrated Design and Process Technol., pp. 234-45, 1995). An investigation shows that obtaining the results previously presented by Kothari has not been possible, and the very high success reported has not been verified. However, the implementation reported in this paper does produce modular networks with improved training, as previously reported.