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A projection pursuit model is presented in this paper for comprehensive evaluation of benefits of small watershed control.By using the model,small watershed control samples with many benefit evaluation indexes can be synthesized projective values with one dimension.The samples can be naturally evaluated according to the projective values.The parameters of the model is optimized by using real coding beased accelerating genetic aglrothm,which overcomes the shortcomings of large computation amount and difficulty of computer programming in traditional projection prusuit methods,and provides a new way for wide applications of projection pursuit technique to different evaluation problems in agricultural systems engineering.
A projection pursuit model is presented in this paper for comprehensive evaluation of benefits of small watershed control. By using the model, small watershed control samples with many benefit evaluation indexes can be synthesized projective values with one dimension. The samples can be based on to the projective values. The parameters of the model is optimized by using real coding be based accelerating genetic aglrothm, which overcomes the shortcomings of large computation amount and difficulty of computer programming in traditional projection prusuit methods, and provide a new way for wide applications of projection pursuit technique to different evaluation problems in agricultural systems engineering.