Centripetal accelerated particle swarm optimization and its applications in machine learning
Nowadays, meta-heuristic optimization algorithms have been extensively applied to a variety of Machine Learning (ML) applications such as classification, recognition, prediction, data mining and web mining, combinatorial optimization and so on. The majority of them imitate the behavior of natural ph...
Saved in:
主要作者: | Beheshti, Zahra |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2013
|
主題: | |
在線閱讀: | http://eprints.utm.my/id/eprint/33768/6/ZahraBeheshtiPFSKSM2013.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
A levy flight particle swarm optimizer for machining performances optimization
由: Kamaruzaman, Anis Farhan
出版: (2014) -
Particle swarm optimization for neural network learning enhancement
由: Abdull Hamed, Haza Nuzly
出版: (2006) -
Enhancement of elman recurrent network learning with particle swarm optimization
由: Ab. Aziz, Mohamad Firdaus
出版: (2007) -
A study on premature convergence and its prevention in particle swarm optimization
由: Abdullah Asuhaimi, Farhana
出版: (2007) -
Learning enhancement of radial basis function network with particle swarm optimization
由: Sultan Noman, Qasem Mohammed
出版: (2008)