Enhanced Synergetic Classifier For Personal Emotion Classification
This research proposed the synergetic computer melting algorithm (SC-Melt),as an attractor neural network,is proposed to classify the data obtained into the different emotion classes. Weight distribution for each channel in the decision fusion is optimised with the particle swarm optimisation (PSO)...
Saved in:
主要作者: | Wong , Wee Ming |
---|---|
格式: | Thesis |
出版: |
2011
|
主题: | |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
An Enhanced Probabilistic Neural Network For Pattern Classification
由: Chang, Roy Kwang Yang
出版: (2010) -
Anti-pornography algorithm based on multi-agent learning in skin detector and pornography classifier
由: Ansaef, Aos Alaa Zaidan
出版: (2013) -
Voice Driven Emotion Recognition For Virtual Reality Telecommunications
由: Abdul Razak, Aishah
出版: (2005) -
Bayesian random forests for high-dimensional classification and regression with complete and incomplete microarray data
由: Oyebayo, Olaniran Ridwan
出版: (2018) -
SAR Image Classification Using Multifractal Using Dimensions and Binary Cliques Iterative Decomposition Method
由: Teng, Hse Tzia
出版: (2009)