Multi-sigmoid feed-forward network classifier and its application t o toxicity recognition

A novel multi-sigmoid function and the correspondi ng multi-sigmoid feed-forward network(MS-FN)classifier taking the multi-sigm o id as single output unit activation function were proposed in this paper. Then L evenberg-Marquart(LM)algorithm with high training speed ada ptable to the network structure was deduced . This compact structure was used in multiple classification . Fine multi-classification performance,excellent extensive and steady capability were found from its application to the Quantitative Structure-Activity Relationship(QSAR)of amines acute toxicity by using different activation functions in the network ou tput layer. This example illuminated that the MS-FN classifier was an effective tool for chemistry pattern recognition.