An Unconstrainted Optimization Method Based on BP Neural Network

This paper proposed an unconstrainted optimization method based on BP neural network, and take Unipolar Sigmoid function as the transfer function,and take maximize network output as example,derived and given the partial derivatives of the BP neural network´s output to input.On this basis, give a general mathematical expression that based on the BP neural network unconstrainted optimization issues,and through further study,the calculation method and calculation steps is given ,which based on BP neural network unconstrainted optimization method, and make a example calculation,the results show that the algorithm is an effective method.