讨论了神经元算法对线性可分模式空间的适应性,将其应用于某合金钢生产优化区的寻找,并将之与主成分分析法所得结果作了比较,研究结果表明,神经元算法简单、可靠性高,是一种自学习的模式识別的好方法。
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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