将人工神经网络用于建立高Ｃｏ－Ｎｉ二次硬化钢的性能预测模型．在此基础上，对此类钢合金含量改变时的性能进行了预测，并与实验结果相比较，获得了满意的结果．另外采用模拟退火算法对高Ｃｏ－Ｎｉ二次硬化钢的性能进行了多指标优化，从而为材料性能的优化研究探索了一条崭新的途径． Artificial neural network for the establishment of high Co-Ni secondary hardening steel performance prediction model. On this basis, the performance of this type of steel alloy was predicted, and compared with the experimental results, satisfactory results were obtained. In addition, the simulated annealing algorithm is used to optimize the performance of high Co-Ni secondary hardened steels with multi-index, so as to explore a new way for the optimization of material properties.