Stream flow predictions using nature-inspired Firefly Algorithms and a Multiple Model strategy – Directions of innovation towards next generation practices

Advanced Engineering Informatics

Volumn 34, Issue , 2017, Pages 80-89

  Khatibi, R ^a   Ghorbani, M A ^b   Pourhosseini, F Akhoni ^b  

^a GTEV ReX Limited   (United Kingdom)

^b UNIVERSITY OF TABRIZ   (Iran)

Author keywords

Backpropagation; Firefly Algorithm (FFA); Multi Layer Perceptron (MLP); Multiple Modelling; Prediction; Stream Flow

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; BIOLUMINESCENCE; FLOOD CONTROL; FORECASTING; MODEL STRUCTURES; NEURAL NETWORKS; OPTIMIZATION;

BACKPROPAGATION LEARNING ALGORITHM; CORRELATION COEFFICIENT; FIREFLY ALGORITHMS; MULTI LAYER PERCEPTRON; MULTIPLE-MODELING; PERFORMANCE MEASURE; PREDICTION PROBLEM; RESEARCH ACTIVITIES;

STREAM FLOW;

EID: 85030861907     PISSN: 14740346     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aei.2017.10.002     Document Type: Article

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