JICS

1. Classification of Parkinson's Disease Using Defuzzification-Based Instance Selection

Sang-Hong Lee, Vol. 15, No. 3, pp. 109-116, Jun. 2014

10.7472/jksii.2014.15.3.109
Keywords: Instance Selection, Parkinson's disease, Gait, Fuzzy Neural Networks, Wavelet Transforms, Normal Distribution

2. Features Extraction for Classifying Parkinson's Disease Based on Gait Analysis

Sang-Hong Lee, Joon-S. Lim, Dong-Kun Shin, Vol. 11, No. 6, pp. 13-20, Dec. 2010
Keywords: Parkinson's disease, Gait, Fuzzy Neural Networks, Wavelet Transforms, feature extraction

3. Extracting Input Features and Fuzzy Rules for Classifying Epilepsy Based on NEWFM

Sang-Hong Lee, Joon-S. Lim, Vol. 10, No. 5, pp. 127-134, Oct. 2009
Keywords: Electroencephalogram, Epilepsy, Fuzzy Neural Networks, Wavelet Transforms, feature extraction

4. Selecting Minimized Input Features for Detecting Automatic Fall Detection Based on NEWFM

Dong-Kun Shin, Sang-Hong Lee, Joon-Shik Lim, Vol. 10, No. 3, pp. 17-26, Jun. 2009
Keywords: Fall Detection, Fuzzy Neural Networks, Wavelet Transforms, Feature selection

5. Extracting Fuzzy Rules for Classifying Ventricular Tachycardia/Ventricular Fibrillation Based on NEWFM

Dong-Kun Shin, Sang-Hong Lee, Joon-S. Lim, Vol. 10, No. 2, pp. 179-0, Apr. 2009
Keywords: Ventricular Tachycardia(VT), Ventricular Fibrillation(VF), Fuzzy Neural Networks, Wavelet Transforms

6. Extracting Input Features and Fuzzy Rules for forecasting KOSPI Stock Index Based on NEWFM

Sang-Hong Lee, Joon-S. Lim, Vol. 9, No. 1, pp. 129-136, Feb. 2008
Keywords: Fuzzy Neural Networks, Rule Extraction, Wavelent Transforms, NEWFM, KOSPI

7. Minimum Fuzzy Membership Function Extraction for Automatic Premature Ventricular Contraction Detection

Joon-Shik Lim, Vol. 8, No. 1, pp. 125-132, Feb. 2007
Keywords: Premature Ventricular Contraction(PVC), Fuzzy Neural Networks, Wavelet Transforms, Weighted Fuzzy Membership Functions

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