Study On The Stability Of Complex Slope With Artificial Intellegence Analysis Mehtod

Every year in roads, railways and other engineering construction excavation of theslope, the slope stability is the important influence factors of the engineeringconstruction can be completed smoothly on schedule. Under natural conditions of thestability of slope is determined by its geological condition and mechanics properties;After artificial role and formation of the slope is generally called artificial slope, theslope stability is mainly affected by the existence of the nature of the soil andgroundwater conditions such as control. Thus the influence factors of slope stability ismore, and some of the factors is difficult to express thus has fuzziness in the exactfigures. For the slope of governance construction process safety, engineering economy,and beautiful. At present, scholars have proposed many slope treatment project, manycontrol scheme has been applied in actual engineering, also has obtained the remarkableresult, but there is no lack of among them some failures.Many scholars on the slope stability evaluation to do a lot of research, put forwarda lot of evaluation methods, most of these methods has some limitations, some can’taccurately describe the slope fuzziness, there are some shortcomings in the calculation.In short, the accurate evaluation of the slope stability is the precondition of slopetreatment project decision-making, and governance plan decision is related to the keyfactor of success for slope treatment. So in this paper, the above two problems arestudied, mainly done the following work:①Brief elaborated the slope stability and slope treatment project decision-makingresearch status at home and abroad, analyzes the defects of existing methods.②It introduces the theory of the slope engineering, some factors affecting thestability of slope and slope stability evaluation method.③Introduce the slope engineering geological model architecture, mathematical andmechanical model of security and stability of slope and slope evolution of bifurcationmodel.④The slope stability of artificial intelligence algorithms, given a FCM clusteringanalysis based on genetic algorithm in the application of slope stability evaluation,combining with the development of system is analyzed.⑤The soft set theory and fuzzy soft set theory is introduced to combine the twotheory gives a method of slope treatment project decision-making. Finally combiningwith engineering example using this method of decision analysis.