Application and Simulation of GRNN for the Shotcrete Robot

(整期优先)网络出版时间:2009-02-12
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Thegeneralizedregressionneuralnetwork-onekindofRBFneuralnetwork,ischosentoconstructtheinverse-kinematicsmodelfortheshotcreterobotwhichhasredundantdegree-of–freedom.Theinverse-kinematicsmodeloftheobjectistrainedbythegenerallearningmethod.Inconstructingmodelprocess,differentpartitionmethodsistriedtopidethejointspaceanddifferentdiffusioncoefficientvaluetotraintheneuralnetwork.Theinfluenceofthespreadcoefficienttotheapproachabilityisalsostudied.Thesimulationmethodisadoptedtotesttheperformanceoftheneuralnetwork.Thesimulationresultturnsouttobesatisfactory.