A hybrid support vectors machine model with KSIR and HBMO in analyzing medical data
碩士 === 國立暨南國際大學 === 資訊管理學系 === 97 === Swarm intelligence is based on observing the collective behavior of social insects and extract characteristics that can be applied to human life domains, such as ant colony optimization (ACO), particle swarm optimization (PSO) and genetic algorithm (GA). This pa...
Main Authors: | Ying-Zhieh Cho, 卓盈玠 |
---|---|
Other Authors: | Ping-Feng Pai |
Format: | Others |
Language: | zh-TW |
Published: |
2009
|
Online Access: | http://ndltd.ncl.edu.tw/handle/35606502724047971739 |
Similar Items
-
Kernel Sliced Inverse Regression (KSIR) for Semi-supervised Learning
by: Kuan-Ying Su, et al.
Published: (2014) -
Design of a Front– End Amplifier for the Maximum Power Delivery and Required Noise by HBMO with Support Vector Microstrip Model
by: F. Guneş, et al.
Published: (2014-04-01) -
Protection Scheme of Power Transformer Based on Time–Frequency Analysis and KSIR-SSVM
by: mehdi hajian, et al.
Published: (2013-02-01) -
Applying HBMO and PSO in an Intelligent Market Segmentation System
by: I-Ting Kuo, et al.
Published: (2008) -
Applying HBMO-based BPN in Predicting the Taiwan Steel Price
by: Po-Chou Shih, et al.
Published: (2012)