关键词: 边坡案例, 数据挖掘, 案例挖掘, 递归的自-组织模糊神经网络

Abstract: Slope hazard is a serious natural hazard next only to earthquake and floodwater. It has brought about great losses to the economic and social development worldwide. Each year it causes a loss up to billions of dollars in the whole world. A striking amount of money has been spent on the prevention and redress of the hazard; and much more losses have been incurred indirectly in addition. Many slope treatment cases have been already accumulated for over a long time of slope treatment, but much data information of these slope cases are not completely used and developed, which results in huge resources waste. For this reason, applying the methods of the data mining, knowledge discovery in databases and recurrent self-organizing neural fuzzy inference network, an intelligent evaluation system of slope stability based on case mining is presented. Meanwhile, practical applications illustrate validity and feasibility of the system.

Key words: slope case, data mining, case mining, recurrent self-organizing neural fuzzy inference network