Robustness verification of artificial neural network predictors in a purpose-built data compression scheme

Citation

Logeswaran, Rajasvaran (2011) Robustness verification of artificial neural network predictors in a purpose-built data compression scheme. In: Focus on Artificial Neural Networks. Mathematics Research Developments . Nova Science Publishers, Inc., pp. 277-297. ISBN 978-1-61324-285-8

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Abstract

This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include artificial neural networks in environmental sciences and chemical engineering; application of artificial neural networks in the development of pharmaceutical microemulsions; massive-training artificial neural networks for supervised enhancement/suppression of lesions/patterns in medical images; evidences of new biophysical properties of microtubules; neural network applications in modern induction machine control systems and wavelet neural networks.

Item Type: Book Section
Uncontrolled Keywords: Neural networks (Computer science), Artificial Neural Networks
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 05 Aug 2021 01:28
Last Modified: 17 Aug 2021 05:26
URII: http://shdl.mmu.edu.my/id/eprint/9047

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