Intelligent Management Of Urban Water Supply Based On Neural Network System

fl~sc抎 01?tllO I)VdCt. I Cal Ct)fld II. I vu of the Wdt cr di sIr i btII ion ~etwotk in Clii mu, tIu is paper sysl emaiL i r~t I Iv (Ii scuss the app I i c~i t ion of the lieu rat network i n wa to r hu rdciu j) red i cat i oii and dispatching, include: Taking city water supply system as the pl.ani,usu neural network to create DM桼BF algorithm which i .s adapt to water supply burden prediction. After compare the DM桼BF network and other neural network, we found it has good performance. Apply simulated anrica Ii ng algori thin, genetic at gor i thin, genetic annealing algort turn an(l simulated anneal i ng algori thiui W it. Ii gciie 1. i ~ p rog rain iii I Ii (?wa Lu r .SUPP I y d i spa ic Ii trig. H IC resu I Is of t he st mu tat ion showed t hat all al gor i thins are he t Lcr t ban t rail t I. i ona I me I hod s, and espce I a I I y the I a to r two at go r I t urn do much bet lu r. I. so Act. i vu X I () rca I i xc program comb in ng Ma ti at) and other so It ware. And on the base of it, we can exert t. he Mat. lab抯 powerful cat c.ul at. i ng Func Li on to program software. On the base of the mourn I network devcl oped by the author, We combine VB, Matlab and Access to program city water supply intelligent management system.