Platform patent value evaluation method based on information ecological theory and RF-GA-BP neural network
A RF-GA-BP, BP neural network technology, applied in biological neural network models, neural learning methods, neural architectures, etc., can solve problems such as lack of effect exploration, and achieve enhanced stability, generalization, and high precision. , the effect of improving the accuracy
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[0041] The following is attached Figure 1-2 The present invention is described in further detail.
[0042] In order to solve the problems existing in the prior art, the present invention proposes a platform patent value evaluation method based on information ecology theory and RF-GA-BP neural network. Firstly, the network platform patent value influencing factor system is constructed through information ecology theory. The RF feature selection method screens the high-effect patent value influencing factors, and then optimizes the BP neural network weight and threshold through the GA algorithm, and finally uses the screened patent value influencing factors as input signals to train in the BP neural network until the obtained Stabilize Fanhua's model, and finally build a platform patent value evaluation model, such as figure 1 shown.
[0043] Such as figure 2 As shown, the flow chart of implementing a platform patent value evaluation method based on information ecology theo...
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