✦ LIBER ✦

The automatic model selection and variable kernel width for RBF neural networks

✍ Scribed by Peng Zhou; Dehua Li; Hong Wu; Feng Cheng

Book ID: 113816805
Publisher: Elsevier Science
Year: 2011
Tongue: English
Weight: 827 KB
Volume: 74
Category: Article
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2011.07.011

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A technique for the selection of kernel-

A technique for the selection of kernel-function parameters in RBF neural networks for classification of remote-sensing images

✍ Bruzzone, L.; Prieto, D.F. 📂 Article 📅 1999 🏛 IEEE 🌐 English ⚖ 335 KB

Hierarchical genetic algorithm based RBF

Hierarchical genetic algorithm based RBF neural networks and application for modelling of the automatic depth control electrohydraulic system

✍ Zong-yi Xing; Xue-miao Pang; Hai-yan Ji; Yong Qin; Li-min Jia 📂 Article 📅 2011 🏛 Institute of Control, Robotics and Systems and The 🌐 English ⚖ 460 KB

Predicting bankruptcy using neural netwo

Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy

✍ Philippe du Jardin 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 343 KB

The adaptive selection of financial and

The adaptive selection of financial and economic variables for use with artificial neural networks

✍ Suraphan Thawornwong; David Enke 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 320 KB

Neural network modelling for real-time v

Neural network modelling for real-time variable estimation and prediction in the control of glucoamylase fermentation

✍ Linko, Pekka; Zhu, Yi-Hong 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 951 KB

Neural Network Model for the Prediction

Neural Network Model for the Prediction of Water Aquifer Dimensionless Variables for Edge- and Bottom-Water Drive Reservoirs

✍ Nashawi, Ibrahim S.; Elkamel, Ali 📂 Article 📅 1999 🏛 American Chemical Society 🌐 English ⚖ 157 KB