| 高Co-Ni二次硬化钢性能预测及多指标优化 |
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| 引用本文： | 张国英,刘贵立,曾梅光,钱存富. 高Co-Ni二次硬化钢性能预测及多指标优化[J]. 钢铁, 2000, 35(9): 56-59 |
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| 作者姓名： | 张国英 刘贵立 曾梅光 钱存富 |
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| 作者单位： | 1. 沈阳工业大学
2. 东北大学 |
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| 基金项目： | “九五”国家科技攻关项目! ( 98-A2 8-0 1-0 2 ) |
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| 摘 要： | 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。对此类钢合金含量改变时的性能进行了预测，并将其与实验结果相比较，获得了满意的结果。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。
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| 关 键 词： | 高Co－Ni二次硬化钢 性能预测 多指标优化 |
APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO THE PERFORMANCE PREDICTION AND OPTIMIZATION OF HIGH Co-Ni SECONDARY HARDENING STEEL |
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| ZHANG Guoying,LIU Guili,ZENG Meiguang,QIAN Cunfu. APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO THE PERFORMANCE PREDICTION AND OPTIMIZATION OF HIGH Co-Ni SECONDARY HARDENING STEEL[J]. Iron & Steel, 2000, 35(9): 56-59 |
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| Authors: | ZHANG Guoying LIU Guili ZENG Meiguang QIAN Cunfu |
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| Affiliation: | ZHANG Guoying LIU Guili ZENG Meiguang QIAN Cunfu (Shenyang Polytechnic University) (Northeastern University) |
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| Abstract: | Artificial neural networks have been used to establish the model of property for high Co Ni secondary hardening steel. On this basis, the performance of this kind of steel with different alloy element content has been predicited, and satisfying result has been obtained. The performance has been optimized by computer simulation. |
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| Keywords: | high Co Ni secondary hardening steel artificial neural networks simulated annealing algorithm performance prediction and optimization |
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