River flow prediction using hybrid PSOGSA algorithm based on feed-forward neural network
Abstract
River flow modeling plays an important role in water resources management.
This research aims at developing a hybrid model that integrates the feed-forward neural network (FNN) with a hybrid algorithm of the particle swarm optimization and gravitational search algorithms (PSOGSA) to predict river flow. Fundamentally, as the precision of a FNN model is essentially dependent upon the assurance of its model parameters, this review utilizes the...
Paper Details
Title
River flow prediction using hybrid PSOGSA algorithm based on feed-forward neural network
Published Date
Nov 29, 2018
Journal
Volume
23
Issue
20
Pages
10429 - 10438
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