## Abstract The multilayer feedβforward ANN is an important modeling technique used in QSAR studying. The training of ANN is usually carried out only to optimize the weights of the neural network and without paying attention to the network topology. Some other strategies used to train ANN are, firs
β¦ LIBER β¦
Adaptive Configuring of Radial Basis Function Network by Hybrid Particle Swarm Algorithm for QSAR Studies of Organic Compounds.
β Scribed by Yan-Ping Zhou; Jian-Hui Jiang; Wei-Qi Lin; Hong-Yan Zou; Hai-Long Wu; Guo-Li Shen; Ru-Qin Yu
- Publisher
- John Wiley and Sons
- Year
- 2007
- Weight
- 11 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0931-7597
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Hybridized particle swarm algorithm for
β
Qi Shen; Jian-Hui Jiang; Chen-Xu Jiao; Wei-Qi Lin; Guo-Li Shen; Ru-Qin Yu
π
Article
π
2004
π
John Wiley and Sons
π
English
β 145 KB
Support vector machine based training of
β
Wei-Qi Lin; Jian-Hui Jiang; Yan-Ping Zhou; Hai-Long Wu; Guo-Li Shen; Ru-Qin Yu
π
Article
π
2006
π
John Wiley and Sons
π
English
β 398 KB
π 1 views
## Abstract Multilayer feedforward neural networks (MLFNNs) are important modeling techniques widely used in QSAR studies for their ability to represent nonlinear relationships between descriptors and activity. However, the problems of overfitting and premature convergence to local optima still pos
Modeling and optimization of microbial h
β
Long Liu; Jun Sun; Wenbo Xu; Guocheng Du; Jian Chen
π
Article
π
2009
π
American Institute of Chemical Engineers
π
English
β 116 KB
π 2 views