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Investment in hydropower projects is a complex system, a full range of construction processes, investment in hydropower should be effectively controlled, make full use of limited approval of investment limits to maximize the benefits. Water conservancy and hydropower engineering project construction period, large-scale investment, the cooperative sector; seriously affected by natural resources, topography, geology, hydrology and meteorological conditions; also affected by the level of local economic development, transportation and other resource constraints of the market conditions. This unique and complexity increase the difficulty of the hydropower project cost estimation, has brought great difficulties to the investment forecast and control. And water conservancy and hydropower project as an important infrastructure for national economic and social development, the project investment position and role in the national economy from the Water Industry, the to follow water industry characteristics, strengthen the government's macro-control, social type, fee-for-service type, production of the balanced development of the operation of the industry, to ensure the normal operation of the fund, to achieve water conservancy investment and water assets should be preserved, value-added. However, since the reform and opening up, the rapid rise with the economic development and the construction industry, the construction industry there is investment out of control and investment failure accounts over budget, budget over budget, the budget for the estimated phenomenon, the role of the investment returns difficult play, China's water conservancy construction investment is also the case. Investment runaway phenomenon, of course, building materials, equipment prices and management control is not comprehensive enough and so many other reasons, but its main internal causes of the early decision-making is that investment is not systematic, reliable, and lack of an accurate control standards. Therefore, in order to strengthen the the the investment forecast and analysis of the pre-investment, rational and effective way to identify and control the project cost, the emphasis on the reasonable application of human, material and financial resources, give full play to the fixed assets investment returns. The investment estimate is a preliminary estimate, the construction project investment in the investment decision-making process. Estimate the importance of the work, estimated the entire investment plan to play a guiding role, directly affect the project's investment decisions. Large hydropower project as an important infrastructure for national economic and social development, the government investment control and determine the tender stage the accurate engineering investment is particularly important to avoid the blindness of investment, reduce unnecessary economic losses. Investment-benefit analysis is an important part of the project cost management is a necessary foundation of clear investment structure and results, is to ensure that the scientific means to determine a reasonable construction project investment results provide reasonable assurance as to the construction project investment comprehensive The system, a reliable basis for decision making. Investment analysis adequacy, will give the project the impact of decision-making or deviation. Therefore, in order to strengthen the investment predictive analytical rigor, attention to the study of early-stage investment analysis and decision-making to avoid error. With the intensification of market competition and global economic integration, the estimated project cost and reliability requirements. China's water conservancy and hydropower project cost management, although the cost fields early start in the industry, but not more than the number of advisory bodies, the institutional base is not yet solid foundation in the community is still not perfect, the current method of preparation of the project cost, the system. Therefore, the research and development project construction cost estimation method is necessary to refine and improve the existing investment decision-making method. With the artificial neural network theory and the theory of the continuous development of the related technologies, the application of neural networks has been extensively into the neurophysiological science, computer science, cognitive science, psychology, mathematical science, information science, biotechnology, electronics, microelectronics, optics, etc., and also be well applied to the field of project cost estimates. The method of fuzzy mathematics and neural network combined to build cost estimation models plumber project investment estimate. Broader investment analysis content, including technical, economic, environmental, social and other complex factors, the analysis of the decision-making process is a multi-stage, multi-state dynamic decision-making process. BP neural network characteristics and performance, it is suitable for the Settlement of Investment assessment and analysis of decision-making such indicators, multi-factor analysis of the judge to resolve the problem. Therefore, you can use the BP neural network analysis on a construction project in decision analysis. In the in-depth study and research of domestic and foreign construction project cost estimation methods and economic analysis method based on the proposed investment prediction model based on fuzzy mathematics and improved BP neural network combined. First, using the classical fuzzy mathematical methods of historical data sample classification screening, to improve the quality of the sample to improve the accuracy and usefulness of the investment forecast model; then, through comprehensive analysis of large-scale hydropower project investment characteristics, the design of important parameters an integral and important content of the hydropower station, characterized extract out investment and engineering estimates and efficiency analysis of contact to build a hydropower project investment estimation based on improved BP neural network model and investment efficiency analysis model; Secondly, the training of the model in MATLAB , simulation and testing; Finally, the model was validated by domestic has finished a large hydropower project instance. The results show that the model has good predictive results, to be able to quickly and accurately estimate investment and investment-benefit analysis predicted.
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