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提出一种利用残缺实验数据建立无钴高强韧钢力学性能与钢的合金成分及热处理条件关系模型的方法 ,依据该方法建立了人工神经网络模型 ,并应用模拟退火算法对无钴高强韧钢进行优化设计。
A method to establish the model of the relationship between the mechanical properties of cobalt-free high-toughness steel and the alloy composition and heat treatment conditions of steel using the incomplete experimental data was established. According to the method, an artificial neural network model was established and the simulated annealing algorithm was applied to the cobalt- Optimize design.