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 978-1-61942-100-4 (e-book) Full text not available from this repository.
Official URL: https://novapublishers.com/shop/focus-on-artificia...
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 |
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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: | 11 Nov 2022 08:21 |
Last Modified: | 11 Nov 2022 08:21 |
URII: | http://shdl.mmu.edu.my/id/eprint/9428 |
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