An improved algorithm of fuzzy neural networks and its application to vibration intensity identification

作者：Wang T; Shang T; Wu Z; Ren C

来源：Journal of Vibration Engineering, 2001, 14(4): 451-454.

We put forward an improved algorithm of fuzzy adaptive Hamming neural networks, which overcomes the shortcomings of traditional one';s shortcomings that are random order recognition and lower discrimination capability by introducing a new category choice function and modifying the method of choosing winner neuron in output layer with the characteristics of vibration and noise signal taken into account, fuzzy adaptive Hamming networks with improved algorithm is employed for identifying shell';s vibration intensity, and contrast tests are carried out under different vigilance parameters. The results show that the method can improve the networks discrimination power greatly, and can also realize the sequential recognition process.

• 出版日期2001