The two - dimensional henon chaotic nonlinear map is effectively controlled by the proposed approach . secondly , because of the distinguished advantages , such as rapid convergency and strong approachability , the rbf networks is trained as chaotic controller by ogy scheme , then successful of controlling the henon chaotic map 其次,利用一種學(xué)習(xí)過程收斂速度快、擬合能力強(qiáng)的rbf神經(jīng)網(wǎng)絡(luò),以ogy法為依據(jù),訓(xùn)練網(wǎng)絡(luò)成為混沌控制器,仍以henon映射作為混沌控制對(duì)象,對(duì)其混沌行為實(shí)施了成功控制。