Induction and application of supervised association artificial neural network optimization algorithms

This paper induces the general algorithms of supervised association artificial neural network and advises the optimization algorithms.It analyses the Hebb rule and Imitating rule and contrasts them completely.It points out that the two bifurcations of the general algorithms through studying the general algorithms of supervised association artificial neural network.A point of view is achieved that is the Imitating rule is advanced than Hebb rule to a certain extent in practice.The conception of Hamming distance has been introduced and the Similarity to the two vectors is advised.To summarize the optimization algorithms of supervised association artificial neural network,The numerals'recognition is studied by the means of the optimization algorithms.