Assessing the Capability of Adaptive Neuro Fuzzy Interference System (ANFIS) in Estimating the Amount of Suspended Sediment Load and its Comparison with Two Models of Artificial Neutral Fuzzy Inference System Case study: Zarine rood, South east basin of Urmia Lake
Load sediment transport in rivers is important according to their role in pollution, Reservoir filling, hydroelectric equipment life, Fish and other hydrological issues. Direct measurement of suspended sediment load in rivers is expensive and construction of measurement stations along the river is n...
Main Authors: | Alimohamad Khorshiddoost, Mehdi Feyzolahpour, Sahar Sadrafshary |
---|---|
Format: | Article |
Language: | fas |
Published: |
University of Sistan and Baluchestan
2015-12-01
|
Series: | جغرافیا و توسعه |
Subjects: | |
Online Access: | https://gdij.usb.ac.ir/article_2235_5dff10391050100126a8862367b25cac.pdf |
Similar Items
-
ANFIS-based soft computing models for forecasting effective drought index over an arid region of India
by: Ayilobeni Kikon, et al.
Published: (2023-06-01) -
Survey of external parasites infestation of cyprinidea in Zarine-rud river in West Azerbaijan province
by: S Rasouli, et al.
Published: (2016-07-01) -
Zoning of landslide-prone areas using neuro-fuzzy inference system (ANFIS) (Case Study: Songhurchay River Basin)
by: Mehdi Feyzolahpour Feyzolahpour
Published: (2018-10-01) -
Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models
by: Ommolbanin Bazrafshan, et al.
Published: (2022-09-01) -
GRNN-Based Scattering Parameter Modeling Investigation for HBT at Different Temperature
by: Qian Lin, et al.
Published: (2023-01-01)