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NEURON ADAPTIVE ALGORITHM APPLIED TO EXPERIMENTAL DESIGN IN STEEL PRODUCTION |
CONG Peisheng; LI Tonghua (Tongji University; Shanghai) CHEN Yu; CHEN Nianyi (Shanghai Institute of Metallurgy; Academia Sinica; Shanghai) |
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Cite this article:
CONG Peisheng; LI Tonghua (Tongji University; Shanghai) CHEN Yu; CHEN Nianyi (Shanghai Institute of Metallurgy; Academia Sinica; Shanghai). NEURON ADAPTIVE ALGORITHM APPLIED TO EXPERIMENTAL DESIGN IN STEEL PRODUCTION. Acta Metall Sin, 1992, 28(11): 59-61.
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Abstract The suitability of neuron algorithm to linear seperatable pattern space was discussed. It was applied to find the optimal condition in production of some alloyed steels. A comparison was made between neuron algorithm and traditional pattern recognition technique. The results show that the neuron algorithm is a simple, reliable algorithm and self adaptive pattern recognition technique.
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Received: 18 November 1992
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1 Lippmann R P. IEEE ASSP Magazine, April, 1987:4 2 Bernard W, Rodney G W. IEEE Trans Acoust Speech Signal Process, 1988; 36:1109 3 Geladi P, Kowalski B R. Anal Chim Acta, 1986; 185: |
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