Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques
A feed forward Artificial Neural Network (ANN) and an Adaptive Neuro-Fuzzy Inferences System (ANFIS) reservoir inflow models were developed to investigate their potential in forecasting reservoir inflows. The site for the study is the Sembrong dam catchment which is located about 10km from Air Hitam...
Saved in:
Main Author: | Googhari, Shahram Karimi |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2007
|
Online Access: | http://psasir.upm.edu.my/id/eprint/4781/1/FK_2007_76a.pdf http://psasir.upm.edu.my/id/eprint/4781/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Neural networks for forecasting daily reservoir inflows
by: Karimi-Googhari, Shahram, et al.
Published: (2010) -
Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region
by: Allawi, Mohammed Falah, et al.
Published: (2018) -
Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification
by: Hakim, S.J.S., et al.
Published: (2013) -
Electricity Consumption Forecasting Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
by: Tay, K. G., et al.
Published: (2019) -
Electricity consumption forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS)
by: K.G., Tay, et al.
Published: (2019)