Title: Nerve network input parameter screening method based on fuzzy logic
Application Number: 200610147213 Application Date: 2006.12.14
Publication Number: 1987905 Publication Date: 2007.06.27
Approval Pub. Date: Granted Pub. Date:
International Classifi-cation: G06N3/02
Applicant(s) Name: Donghau Univ. Address:
Inventor(s) Name: Chen Ting;Li Liqing;Chen Xia
Attorney & Agent: huangzhi da xiewen kai
Abstract:
    The invention relates to the field of textiles, it involves neural network input parameters screening method based on the indistinct logic. It includes the following steps: (1) acquiring the necessary data of the neural network modeling; (2) pre-treating the input and output parameters of the neural network; (3) calculating the specific value which can reflect the coincide degree of the changes trend of the experimental data with the expert knowledge; (4)calculating the specific value which can reflect the sensitivity degree of input parameters to output parameters; (5) combining the specific value of coincide degree with the specific value of sensitivity degree to get the specific value which can reflect the intimate relation between the input parameters and output parameters; (6) According to the sequence of the intimate relation, the input parameters of the neural network are screened. The invention can be simpler and quicker to screen the neural network input parameters, particularly applicable to constructing the neural network model of small size samples in the field of textile.
Time: 5