Title :
Encoding neural networks for GA based structural construction
Author :
Esat, I.I. ; Kothari, B. ; Shaikh, A. ; Wrathall, P.
Author_Institution :
Dept. of Mech. Eng., Brunel Univ., Uxbridge, UK
Abstract :
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
Keywords :
encoding; genetic algorithms; learning (artificial intelligence); neural net architecture; direct encoding scheme; genetic algorithm; modular networks; network construction; neural network representation; neural networks; structural construction; training; Artificial neural networks; Computer networks; Design optimization; Encoding; Genetic algorithms; Genetic mutations; Genetic programming; Mechanical engineering; Neural networks; Scalability;
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
DOI :
10.1109/ICONIP.1999.844014
