Research on application of water conservancy project bidding decision model based on BP neural network

Currently bidding is the major way of construction project contracting. Bidding decisions are made by construction companies according to their advantages and characteristics of the target project so as to bid selectively. By this way, it can realize not only saving both human and financial resources but also improving the successful rate of the bid. According to terms of the contract established by Chinese Ministry of Water Resources in 2009 and actual competition environment of the domestic construction market, a water conservancy project bidding decision model is constructed based on BP neural network. It can solve the problem of nonlinear relationship between features and cost of water conservancy and hydropower project, which cannot effectively be solved by conventional bidding decision method. The built model is applied and tested. The results show that the model achieved the desired results and can be applied in the actual bidding decision, which has great realistic meaning for bidding decisions of water conservancy project.