New Approach to Estimate Velocity at Limit of Deposition in Storm Sewers Using Vector Machine Coupled with Firefly Algorithm

Author:

Ebtehaj Isa1,Bonakdari Hossein2,Shamshirband Shahabuddin3,Ismail Zubaidah4,Hashim Roslan4

Affiliation:

1. Ph.D. Candidate, Dept. of Civil Engineering, Razi Univ., Baghe Abrisham, 67156-85438 Kermanshah, Iran.

2. Professor, Dept. of Civil Engineering, Razi Univ., Baghe Abrisham, 67156-85438 Kermanshah, Iran (corresponding author).

3. Senior Lecturer, Dept. of Computer Science, Univ. of Malaya, Jalan Universiti, 50603 Kuala Lumpur, Malaysia.

4. Professor, Dept. of Civil Engineering, Faculty of Engineering, Univ. of Malaya, Jalan Universiti, 50603 Kuala Lumpur, Malaysia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference60 articles.

1. Ab Ghani A. (1993). “Sediment transport in sewers.” Ph.D. thesis Univ. of Newcastle Upon Tyne Newcastle U.K.

2. Suspended sediment load simulation by two artificial neural network methods using hydrometeorological data

3. ASCE. (1969). “Design and construction of sanitary and storm sewers.” Reston VA.

4. Multi-time scale stream flow predictions: The support vector machines approach

5. ANFIS-based approach for predicting sediment transport in clean sewer

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