A hybrid model of self organizing maps and least square support vector machine for river flow forecasting

• Main Authors: Ismail, S., Shabri, A., Samsudin, R.
• Format: Article
• Published: 2012
• Subjects: GB Physical geography
• Online Access: http://eprints.utm.my/id/eprint/46488/; https://dx.doi.org/10.5194/hess-16-4417-2012
• Institution: Universiti Teknologi Malaysia

Successful river flow forecasting is a major goal and an essential procedure that is necessary in water resource planning and management. There are many forecasting techniques used for river flow forecasting. This study proposed a hybrid model based on a combination of two methods: Self Organizing M...