| 利用神经网络学习的岩体分级 |
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| 引用本文： | 冯夏庭,王丽娜.利用神经网络学习的岩体分级[J].东北大学学报(自然科学版),1993(3). |
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| 作者姓名： | 冯夏庭 王丽娜 |
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| 作者单位： | 东北大学
(冯夏庭)，沈阳黄金学院(王丽娜) |
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| 摘 要： | 将神经网络理论应用于岩体分级,意在探索出一条更强有力的分级新途径。利用神经网络对已知样本集进行学习,建立各种地质及工程因素与岩体的等价级别之间非线性映射。学习后的网络及权值可用于识别新的岩体的等价级别。主要探讨了PDP模型学习岩体分级的方法,并给出了应用结果。
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| 关 键 词： | 神经元 神经网络 岩体分级 自适应模式识别 自学习 反向传播学习算法 |
Rock Mass Classification by Use of Neural Network Learning |
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| Feng Xiating,Wang Lina.Rock Mass Classification by Use of Neural Network Learning[J].Journal of Northeastern University(Natural Science),1993(3). |
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| Authors: | Feng Xiating Wang Lina |
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| Abstract: | An attempt is made to find a new way for better classification of rock masses--applying the neuralnetwork theory to such a classification. Learning from a given sample set. the neural network is used to establish a nonlinear mapping between various geologic/engineering factors and an equivalent class of rock mass. It is proved that the network and values of weight after learning are available to the identification of equivalent class for a new type of rock mass. Mainly,the knowledge learning and adaptive pattern recognition in rock mass classification to be performed are discussed with thier application results given. |
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| Keywords: | neuron neural network rock mass classification adaptive pattern recognition self-learning back-propagation learning algorithm |
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