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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 ,并应用遗传算法对无钴高强韧钢进行了优化设计 .实践表明所提出的方法是有效的 ,为研制新材料开辟了一条新途径 .
A method for establishing the relation model between the mechanical properties of cobalt-free high strength and toughness steel and the alloy composition and heat treatment conditions of the steel based on incomplete experimental data is proposed. According to the method, an artificial neural network model is established and the genetic algorithm is applied to the non-cobalt high strength and toughness steel Optimized design.Practice shows that the proposed method is effective and opens up a new way for the development of new materials.