Neural Network For Electricity Bidding Systems

Bidding is in the process of construction contract a decisive steps directly linked to the success of enterprises, Enterprise quotations is placed in the first project tender key. At home and abroad using a variety of electrical work on the establishment of the bid price model, but in the traditional technology created bidding model requires a great deal of mathematics and statistics knowledge and development costs are too high, and intelligent methods based on a single early model generalization ability is not strong enough, these are greatly limits the model in practical work the extension of the application, it is difficult to achieve the tender offer work the actual needs and to adapt to a highly competitive market environment. This article from the combination of theoretical and practical point of view, the electricity project quotation factors and criteria for the analysis of artificial neural network structure, passed on the basis of data filtering and the increase in the number of hidden layer, using artificial neural networks have been improved, and based on the modified artificial neural network project quotation rapid estimation model. Will be based on this kind of artificial neural network project model to estimate Inner Mongolia power project quotations from simulation results as you can see the network model study time shorter, learn faster rate, the higher the precision.