Integrating the Mega-Trend-Diffusion Technique with the Adaptive Network-Based Fuzzy Inference System
碩士 === 國立成功大學 === 高階管理碩士在職專班(EMBA) === 102 === The Adaptive Network-Based Fuzzy Inference System (ANFIS) is widely applied to classification and numerical forecasting problems nowadays. Although the ANFIS is developed to obtain the optimal results of FIS with artificial neural networks by adapting t...
Main Authors: | Kuo-LiTseng, 曾國立 |
---|---|
Other Authors: | Der-Chiang Li |
Format: | Others |
Language: | zh-TW |
Published: |
2014
|
Online Access: | http://ndltd.ncl.edu.tw/handle/96167523191574445455 |
Similar Items
-
Improving the mega-trend-diffusion technique for small data set learning
by: Liang-RenSiao, et al.
Published: (2015) -
Using Mega-Trend-Diffusion Technique to Improve the Forecasting Accuracy of Meta-Model Method
by: Hui-ChaoChen, et al.
Published: (2014) -
A case study of testing the functioning level of psychiatric activities using the mega-trend-diffusion technique
by: Shao-Wei Lee, et al.
Published: (2011) -
Using Mega-Trend-Diffusion to Verify the Effectiveness of Psychiatric Disorders by Integrating Western and Traditional Medicine Therapy
by: Yuk-HingNg, et al.
Published: (2014) -
Using Mega Diffusion Techniques for Small Data Set Learning
by: Tung-I Tsai, et al.
Published: (2005)