| 用PNN人工神经网对水泥28天抗压强度分类 |
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| 引用本文： | 史奎凡.用PNN人工神经网对水泥28天抗压强度分类[J].济南大学学报(自然科学版),1996(1). |
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| 作者姓名： | 史奎凡 |
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| 作者单位： | 山东建材学院工业自动化系 |
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| 摘 要： | 研究了用ＰＮＮ人工种经网对水泥２８ｄ抗压强度分类的问题，以及提高分类精度的方法。最后，给出实验结果。说明了方法是可行的。
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| 关 键 词： | 水泥强度 PNN人工神经网 模拟 |
CLASSIFICATION OF 28 DAY'S COMPRESSIVE STRENGTH OF CEMENT BY PNN ARTIFICIAL NEURAL NETWORKS |
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| Shi Kuifan.CLASSIFICATION OF 28 DAY''''S COMPRESSIVE STRENGTH OF CEMENT BY PNN ARTIFICIAL NEURAL NETWORKS[J].Journal of Jinan University(Science & Technology),1996(1). |
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| Authors: | Shi Kuifan |
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| Abstract: | The classification of 28d cement compressive strength with PNN artificial neuralnetworks and a new method of improving accuracy has been studied. The expenment result provedthe method feasible. |
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| Keywords: | cement strength PNN artificial neural networks stimulation |
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