Artificial neural network approach for predicting the water turbidity level using optical tomography

• Main Authors: Khairi, M. T. M., Ibrahim, S., Yunus, M. A. M., Faramarzi, M., Yusuf, Z.
• Format: Article
• Published: 2016
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/68878/; https://link.springer.com/article/10.1007/s13369-015-1904-6
• Institution: Universiti Teknologi Malaysia

Water pollution can occur with a variety of reasons such as the change in water colour, the presence of harmful bacteria and toxic waste spills. This paper presents an application of an optical tomography system based on artificial neural network (ANN) to predict the turbidity level of water sample....