Neural Network Application in biological sequence analysis and currency prediction - Case Studies

Lee, Nung Kion (2014) Neural Network Application in biological sequence analysis and currency prediction - Case Studies. [Teaching Resource] (Unpublished)

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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
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
Depositing User: Lee
Date Deposited: 28 May 2015 00:38
Last Modified: 15 Sep 2015 06:13
URI: http://ir.unimas.my/id/eprint/7232

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