Abstract：Abstract：Research purposes： The high-speed railway with the advantage of high speed， large transport capacity， safety performance， high comfortable degree， low energy consumption is known as the green engineering， which is favored by the governments at home and abroad. But the construction of high-speed railway is a double-edged sword. The serious destruction of high-speed railway on ecological environment should not be ignored. The band structure of the high-speed railway line on the ecological environment of blocking and cutting is the most serious form of anthropogenic disturbances. According to the problems existing in the current high-speed railway environmental protection index system， this paper builds the high-speed railway construction index system of ecological environmental protection goal programming which includes dominance value changes， timely forestations rate， soil loss， degree of animal and plant protection planning and uses adaptive neural fuzzy inference system (ANFIS) to plan the high-speed railway construction of ecological environmental protection goal. Taking a actual high-speed railway project as an example for the empirical analysis， the paper does a comparison between the ANFIS and the BP neural network， which is more accurate and practical.
Research conclusions：(1) We can use ANFIS method for goal programming high-speed rail construction of ecological environmental protection. (2) Compared with the BP neural network methods， ANFIS method forecasting accuracy is higher， and has the very good generalization ability. (3) ANFIS method can be reasonably planed for ecological environmental protection index， provide the decision-making basis for the sustainable green high-speed rail construction and support.
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