Title of article
Penggunaan Jaringan Neural Tiruan bagi menentukan Kekeruhan air berdasarkan Pencaman Corak Spektrum Pantulan
Author/Authors
MAT LAZIM, MOHAMAD AzWANI SHAH Universiti Kebangsaan Malaysia - Fakulti Sains dan Teknologi - Pusat Pengajian Sains Kimia Teknologi Makanan, Malaysia , AHMAD, MUSA Universiti Kebangsaan Malaysia - Fakulti Sains dan Teknologi - Pusat Pengajian Sains Kimia dan Teknologi Makanan, Malaysia , ZAKARIA, ZURIATI Universiti Kebangsaan Malaysia - Fakulti Sains dan Teknologi - Pusat Pengajian Sains Kimia Teknologi Makanan, Malaysia , TAIB, MOHD NASIR Universiti Teknologi MARA - Fakulti Kejuruteraan Elektrik, Malaysia
From page
81
To page
85
Abstract
Artificial neural network (ANN) was used in this study to determine water turbidity by using back propagation algorithm. Three wavelengths which represent reflectance intensity for eight standard samples were used as training input. The finding from the study shows that the trained network with number of epochs of 250, 000 and learning rate of 0.001 gave the lowest sum of squared error (SSE) of 0.04. ANN was able to predict the turbidity of water based on the pattern recognition of the reflectance spectrum. The architecture of optimised ANN used in this study was 3:25: 1. The averageprediction error was 0.02.
Keywords
Artificial neural network , back propagation algorithm , turbidity
Journal title
Sains Malaysiana
Journal title
Sains Malaysiana
Record number
2663433
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