Mining television audience rating based on Fuzzy Cognitive Map

Abstract

The Fuzzy Cognitive Map (FCM) is the product of the combination of fuzzy logic and neural network, and is suitable for the description, prediction and control of the nonlinear system based on dynamic data. The linear regression algorithm is used to obtain the coarse weight matrix model of fuzzy cognitive map, and then a training weight algorithm is used to refine the coarse weight matrix model. The fuzzy cognitive map model is applied to mine the television audience rating, realizing and prediction television playback volume. The experimental result shows that the modeling method is effective