llowing for the limitations of LS energy function used in BP algorithm, thispaper proposes a robust learning algorithm based on the study of how cluster-ing puts down radom noise’s effects and the consideration of in...llowing for the limitations of LS energy function used in BP algorithm, thispaper proposes a robust learning algorithm based on the study of how cluster-ing puts down radom noise’s effects and the consideration of intensified trainingfor high-quality examples. Some simulation results demonstrate that the robustalgorithm is clearly superior to BP algorithm in anti-disturbance and aJstringency.展开更多
文摘llowing for the limitations of LS energy function used in BP algorithm, thispaper proposes a robust learning algorithm based on the study of how cluster-ing puts down radom noise’s effects and the consideration of intensified trainingfor high-quality examples. Some simulation results demonstrate that the robustalgorithm is clearly superior to BP algorithm in anti-disturbance and aJstringency.
