With the methods of statistics,472 men and 299 women undergraduates at our college were regarded as samples,the normal;variance and mean of Constitution and Health scores were discussed based on 16 sets of weights in order to extract the new weight,viz.

In this paper,a featureselection algorithm based on weight updating scheme of Adaboost and K-L distance is proposed.

Evaluating Weight of Factors Affecting Mine Water Bursting with AHP;

Structural damage detection based on BP algorithm with weight and threshold synchro-learning ability;

Application of genetic algorithm to weights learning in BP network;

Evaluation of atmospheric environment quality based on weight value analysis of matter-element extension and verification with example;

The evaluationg model of industry design is judged comprehensively by applying the analyticalhierarchy process (AHP) method in this paper And the relative weight value, comprehensiveweight value of evaluationg indexes and essential factors of industry design are determined.

This paper puts forward a kind of clustering algorithm based on the weight value,which effectively solves the problem and improves the agility and expansibility of the network management in order to manage large scale Ad Hoc wireless networks under different kinds of conditions.

Multi-focus image fusion method based on weights optimized by EI;

Mixed method was built to calculate the weights and thresholds of multi-layer neural network by utilize BP algorithm and terraced optimizations.

Aimed at the shortcomings of the BP algorithm,such as low efficiency of study,slow speed of convergence,easy to be trapped into local optimums,etc,this paper introduces Genetic Algorithm (GA) -a new algorithm based on natural selection and the principle of gene genetics, and discusses its weights optimizing in BP neural networks.

In this paper,research on the stability,the convergence tendency of the power value,the sample identification rate of the BP Neural Network and the influence to the power value was made by the Network s general error with a example whose structure of the BP Neural Network is 3-5-2.