BioGenTool: A Generic Bio-inspired Neural Tool.
Artificial neural network (ANN) is a bio-inspired algorithm which has been shown to perform well in many domains in solving non-linear and complex problems. However, in order to apply ANN to solve a particular problem, the implementer is required to not only possess the domain problem knowledge and...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
American Scientific Publishers
2018
|
| Online Access: | https://eprints.ums.edu.my/id/eprint/22299/1/BioGenTool.pdf https://eprints.ums.edu.my/id/eprint/22299/7/BioGenTool.pdf |
| _version_ | 1825713637383208960 |
|---|---|
| author | Gan Kim Soon Chang Sim Vui Chin Kim On Patricia Anthony |
| author_facet | Gan Kim Soon Chang Sim Vui Chin Kim On Patricia Anthony |
| author_sort | Gan Kim Soon |
| collection | UMS |
| description | Artificial neural network (ANN) is a bio-inspired algorithm which has been shown to perform well in many domains in solving non-linear and complex problems. However, in order to apply ANN to solve a particular problem, the implementer is required to not only possess the domain problem knowledge and ANN knowledge but also the programming language knowledge to carry out the experiments. Hence, this paper describes the development of a generic bio-inspired neural tool that provides an interactive and intuitive GUI for setting up ANN experiments for numerical problem domain utilizing feedforward neural network in supervised learning. This tool is developed specifically for researchers with non-computing background who wishes to design an ANN based-solution to a particular numerical problem. |
| first_indexed | 2024-03-06T02:59:38Z |
| format | Article |
| id | ums.eprints-22299 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T02:59:38Z |
| publishDate | 2018 |
| publisher | American Scientific Publishers |
| record_format | dspace |
| spelling | ums.eprints-222992021-10-30T04:40:19Z https://eprints.ums.edu.my/id/eprint/22299/ BioGenTool: A Generic Bio-inspired Neural Tool. Gan Kim Soon Chang Sim Vui Chin Kim On Patricia Anthony Artificial neural network (ANN) is a bio-inspired algorithm which has been shown to perform well in many domains in solving non-linear and complex problems. However, in order to apply ANN to solve a particular problem, the implementer is required to not only possess the domain problem knowledge and ANN knowledge but also the programming language knowledge to carry out the experiments. Hence, this paper describes the development of a generic bio-inspired neural tool that provides an interactive and intuitive GUI for setting up ANN experiments for numerical problem domain utilizing feedforward neural network in supervised learning. This tool is developed specifically for researchers with non-computing background who wishes to design an ANN based-solution to a particular numerical problem. American Scientific Publishers 2018 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/22299/1/BioGenTool.pdf text en https://eprints.ums.edu.my/id/eprint/22299/7/BioGenTool.pdf Gan Kim Soon and Chang Sim Vui and Chin Kim On and Patricia Anthony (2018) BioGenTool: A Generic Bio-inspired Neural Tool. Advanced Science Letters, 24 (2). pp. 1532-1537. ISSN 1936-6612 DOI: https://doi.org/10.1166/asl.2018.10785 |
| spellingShingle | Gan Kim Soon Chang Sim Vui Chin Kim On Patricia Anthony BioGenTool: A Generic Bio-inspired Neural Tool. |
| title | BioGenTool: A Generic Bio-inspired Neural Tool. |
| title_full | BioGenTool: A Generic Bio-inspired Neural Tool. |
| title_fullStr | BioGenTool: A Generic Bio-inspired Neural Tool. |
| title_full_unstemmed | BioGenTool: A Generic Bio-inspired Neural Tool. |
| title_short | BioGenTool: A Generic Bio-inspired Neural Tool. |
| title_sort | biogentool a generic bio inspired neural tool |
| url | https://eprints.ums.edu.my/id/eprint/22299/1/BioGenTool.pdf https://eprints.ums.edu.my/id/eprint/22299/7/BioGenTool.pdf |
| work_keys_str_mv | AT gankimsoon biogentoolagenericbioinspiredneuraltool AT changsimvui biogentoolagenericbioinspiredneuraltool AT chinkimon biogentoolagenericbioinspiredneuraltool AT patriciaanthony biogentoolagenericbioinspiredneuraltool |