Pattern Recognition of Toxioty of Phenolic Compound Based on Counter Propagation Network
This paper introduces the principle and algorithm of counter propagation network.Which using eight structural characteristic parameters of phenolic compounds as inputs to classify and recognize the toxicity of phenolic compound by counter propagation network.The results indicate that the counter propagation network has strong model fitting and generalization abilities.The network can accurately identify the toxicity types of 36 training samples and 8 prediction samples.It is an effective pattern classification recognition method.
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