Platform patent value evaluation method based on information ecological theory and RF-GA-BP neural network

The invention discloses a platform patent value evaluation method based on an information ecological theory and an RF-GA-BP neural network. The platform patent value evaluation method comprises the following steps: analyzing network platform patent value influence factors based on the information ecological theory; obtaining a training sample and a test sample of the GA-BP neural network; performing dimension reduction processing on the platform patent value influence factors by adopting an RF-based feature selection method to obtain an optimal feature subset; designing a BP neural network topological structure, and setting related parameters; optimizing the weight and threshold of the BP neural network by adopting a GA algorithm; and taking the optimal feature subset selected by the RF asan input signal of a GA-BP neural network model, training and checking the GA-BP neural network, and finally constructing a platform patent value evaluation model based on an RF-GA-BP neural networkalgorithm. 本发明公开了一种基于信息生态理