Lee, Nung Kion (2014) Neural Network Application in biological sequence analysis and currency prediction - Case Studies. [Teaching Resource] (Unpublished)
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Lecture_8.pdf Download (1MB) |
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Supervised_Neural_Networks_for_Sequence_Analysis.pdf Download (1MB) |
Abstract
Protein sequences are composed of 20 amino acids . The twenty amino acid letters are: A, C, D, E, F, G, H, I, K, L, M, N, P, Q, R, S, T, V, W, Y. Proteins are product of genes which have many functions in our body: antibodies, enzymes, structural (hairs, tendons etc) etc. Building Neural Network Pattern Recognition System Neural Network for currency recognition
| Item Type: | Teaching Resource |
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| Uncontrolled Keywords: | Neutral network, protien analysis, Neural-network Application, Pattern recognition system, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, Universiti Malaysia Sarawak, undergraduate, postgraduate, research |
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development Faculties, Institutes, Centres > Faculty of Cognitive Sciences and Human Development Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development |
| Depositing User: | Lee |
| Date Deposited: | 28 May 2015 00:38 |
| Last Modified: | 17 Jun 2022 02:39 |
| URI: | http://ir.unimas.my/id/eprint/7232 |
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