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Radial Basis Function Network-Based Transform for a Nonlinear Support Vector Machine as Optimized by a Particle Swarm Optimization Algorithm with Application to QSAR Studies

✍ Scribed by Tang, Li-Juan; Zhou, Yan-Ping; Jiang, Jian-Hui; Zou, Hong-Yan; Wu, Hai-Long; Shen, Guo-Li; Yu, Ru-Qin

Book ID: 125447107
Publisher: American Chemical Society
Year: 2007
Tongue: English
Weight: 115 KB
Volume: 47
Category: Article
ISSN: 0095-2338
DOI: 10.1021/ci700047x

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## 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