Studies On PSA-ANFIS And Its Application In Predicting The Mine Geotechnical Engineering Disaster

The most difficult problem to analyse and precdict the four geotechnical engineering disasters in mining engineering by using the adaptive neuro-fuzzy inference system (ANFIS), the failure of tunnuls and stopes, the slope failure of open-pit mine, the mining induced surface subsidence and the underground flooding by extension of transmissive fractured belt, is that the setting of the training parameters and model of ANFIS has many disadvantages of artificiality, randomness and unregularity. Therefore, the convergence process of training ANFIS is lengthy and trivial and repetitive. For this reason, this thesis studied the approach for setting the training parameters and model of ANFIS by using the orthogonal test design method and the pattern search algorithm(PSA), and put forward and established the approach for adaptive neuro-fuzzy inference system based on pattern search algorithm (PSA-ANFIS). Furthermore, PSA-ANFIS was used to establish the analysis and precdiction approaches for the four geotechnical engineering disasters in mining engineering. And the following achievements have been abtained.(1) The data pairs for training, data pairs for checking and data pairs for prediction were built by using a multi-peaks function. The PSA-ANFIS was established by using the orthogonal test design method and PSA and ANFIS.(2) A comparison study was conducted of the training process and the fitting and predicting capability of the PSA-ANFIS and the ANFIS by using the same multi-Peaks function. The results show that the PSA-ANFIS is far superior to the ANFIS in its parameters adjustment and model establishment and training process, and that is an excellent approach.(3) The data pairs for training, data pairs for checking and data pairs for prediction were built by analytical calculation of a prescribed elasto-plastic problem. A PSA-ANFIS based approach for back analysis of displacements for the mechanical parameters of rock mass was established by using the orthogonal test design method and PSA and ANFIS. The approach has been used to inverse the mechanical parameters of the rock mass surrounding the mining stopes in Xiangxi Gold Mine in Hunan Province. The inversion results were used to build the numerical calculation model to simulate and calculate the deformation of the rock mass and assess the stability of the stopes. At the same time, in-situ measurements were carried out for the deformation of the rock mass. It has been proved that the in-situ measurements are in good agreement with the simulation results and that the new approach is suitable for back analysis of displacements.(4) Based on quite a few cases of circular failure slopes, the data pairs for training, data pairs for checking and data pairs for prediction were built, and the PSA-ANFIS based approach for predicting the stability of circular failure slopes was established by using the orthogonal test design method and PSA and ANFIS. And the approach was used to predict the stability of No.1 circular failure slope in Qianhe open-pit mine. The prediction result is in good agreement with the practical state.(5) Based on quite a few cases of mining induced surface subsidence, the data pairs for training, data pairs for checking and data pairs for prediction were built, and the PSA-ANFIS based approach for mining induced surface subsidence was established by using the orthogonal test design method and PSA and ANFIS. And the approach was used to predict the mining induce subsidence in the west side of No.1 mining area in coal layer.2 in Zhaizhen coal mine of Xiwen Mining Group. The prediction results are in good agreement with the practical measurement results.(6) Based on quite a few cases of the height of the transmissive fractured belt, the data pairs for training, data pairs for checking and data pairs for prediction were built, and the PSA-ANFIS based approach for the height of the transmissive fractured belt was established by using the orthogonal test design method and PSA and ANFIS. And the predicting approach was used to predict the height of the transmissive fractured belt for No.â…¢-1 mining panel at Kangjiawan lead, zinc and gold mine in the Bureau of Mines of Shuikoushan. At the same time, the in-situ measurement is done, and the research result shows that the predicting result is in good agreement with the measurement result in-situ. Finally, in order to mine No.â…¢-1 ore body safely, a mining system of upward slicing and filling with cemented tailings was designed. The system was used to mine the ore body safely and great economic benefits were obtained.It is a new research subject in the domain of artificial intelligence to study the optimization method on setting the training parameters and model of ANFIS. This thesis accomplished this research by using the orthogonal test design method and PSA, and established the PSA-ANFIS. It is the enrichment and development of the ANFIS theory. Furthermore, the PSA-ANFIS was used to study the application of the prediction problems on the four geotechnical engineering disasters in mining engineering. This enriches and develops the research method and prediction theory of the four prediction problems.