| 用于岩体质量评价的神经网络专家系统 |
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| 引用本文： | 冯夏庭,王泳嘉.用于岩体质量评价的神经网络专家系统[J].有色金属,1994(4). |
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| 作者姓名： | 冯夏庭 王泳嘉 |
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| 作者单位： | 东北大学 |
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| 基金项目： | 国家八五重点科技攻关项目,辽宁省博士启动基金项目 |
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| 摘 要： | 应用人工神经网络理论，构造了一种面向岩体质量评价的具有直觉联想和推理功能的新型专家系统──神经网络专家系统ＲＥＮＮＥＳ。它采用神经网络实现专家直觉知识的获取、表示与推理、知识分布式存储与网络并行推理，因而系统容错性好、推理速度快、非线性动态处理与推广能力强、自学习功能强。
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| 关 键 词： | 直觉联想 神经网络专家系统 连接模型 岩体质量评价 |
A NEVRAL NETWORK EXPERT SYSTEM FOR ROCKMASS QUALITY EVALVATION |
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| Feng Xiating, Wang Yongjia.A NEVRAL NETWORK EXPERT SYSTEM FOR ROCKMASS QUALITY EVALVATION[J].Nonferrous Metals,1994(4). |
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| Authors: | Feng Xiating Wang Yongjia |
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| Abstract: | With the application of neural network theory, this paper proposed a new type of expert system,called connectionist expert system,for evaluat- ing the quality of rock masses. It used neural network approach to carry out knowledge acquisition, representation and inference so that the system has newly capability such as high fault freedom,high velocity,nonlinear dynam- ic proccessing and selflearning function. The new system simulates the fun-ction of human' s perception thinking, distributed storage and parallel infer- ence of information. |
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| Keywords: | association connectionist model neural network expert system rockmass quality evaluation |
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