Title
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.
Year
DOI
Venue
2015
10.1109/FSKD.2015.7381921
2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
Keywords
Field
DocType
Fuzzy Cognitive Map,television audience rating,data mining
Neuro-fuzzy,Matrix model,Nonlinear system,Computer science,Fuzzy logic,Fuzzy cognitive map,Dynamic data,Artificial intelligence,Artificial neural network,Machine learning,Linear regression
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
4
Name
Order
Citations
PageRank
Nan Ma110.69
Hao Wang200.34
Qin He300.68
Tao Yao400.34