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The tongue intelligent diagnosis and inference system of traditional Chinese medicine (TCM) was a complex large-scale system, which data quantity was extremely huge, specially along with long-distance networking diagnosis movement, the data quantity increased dramatically. The system requested fast data search, the fuzzy clustering analysis could solve these difficult problems. This paper on the research...
The paper describes the combination of two modeling strategies between the accelerated Levenberg-Marquardt algorithm (accelerated LMA) on neuro-fuzzy approach and fuzzy clustering algorithm C-Means that can be used to forecast financial stock market such as Jakarta Stock Indices (JCI) using the Takagi-Sugeno (TS) type multi-input single-output (MISO) neuro-fuzzy network efficiently. The accelerated...
With the crucial problem of specifying cluster number in clustering algorithm, a cluster number specification-free algorithm, F-CMSVM, is proposed in this paper. Firstly, the data set is classified into two clusters by Fuzzy C-means algorithm (FCM). Then the result is tested by Support Vector Machine (SVM) associated with a fuzzy membership function to confirm whether the data set could be classified...
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