Hashim, Mohd Hashimi
(1995)
Artificial neural networks applied to power flow solution in electrical power system / Mohd Hashimi Hashim.
Advanced Diploma thesis, Universiti Teknologi MARA (UiTM).
Abstract
Artificial Neural Networks (ANNs) recently has gain momentum as tools for solving a complex system operating states which is dependent on several operating parameters. Basically the study is to identify the best Artificial Neural Networks model which gives the Artificial Neural Networks performance. Several Artificial Neural Networks models are tested and the best model is obtained which gives the best convergence
Metadata
Item Type: | Thesis (Advanced Diploma) |
---|---|
Creators: | Creators Email / ID Num. Hashim, Mohd Hashimi UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Idris, Mohammad Khayat UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Neural networks (Computer science) T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electric power distribution. Electric power transmission |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering |
Programme: | Advanced Diploma in Electrical Engineering |
Date: | 1995 |
URI: | https://ir.uitm.edu.my/id/eprint/103754 |
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