Chromosome Recognition as An Effective Algorithm using Polynomial Functional Neural Networks
Xuping Tan, Jiancheng Liu · 2006
A new approach to the improve chromosome, optimization by means of polynomial functional neural networks is presented. The functional neural networks contain four parameters that need to be optimized, the weight, training parameter, network topology and scaling factor, As a consequence, an accurate comparison with other optimization methods is needed. This paper presents a chromosome that are during the identification by means of optimization algorithm. Experiment result showed that the method is validity.