For　the　problem　that　it　is　difficult　to　determine　the　hidden　layer　structure　of　the　radial　basis　function(RBF)　neural　network,　based　on　the　good　online　classified　characteristic　of　adaptive　resonance　theory(ART)　neural　network,　a　self-organizing　RBF　neural　network　structure　design　algorithm　is　proposed.　The　algorithm　uses　the　clustering　characteristic　of　ART　neural　network　to　design　the　RBF　neural　network　structure.　Through　the　similarity　comparison　of　input　vector,　the　number　of　the　hidden　layer　nodes　and　initial　parameters　are　determined,　so　that　the　network　has　simplified　structure.　The　experiment　results　show　that　the　proposed　structure　has　a　smaller　number　of　nodes,　fast　learning　speed　and　better　approximation　ability.