Journal ArticleDOI
A comparative study of population-based optimization algorithms for downstream river flow forecasting by a hybrid neural network model
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TLDR
It can be concluded that the DE and ACO algorithms are considerably more adaptive in optimizing the forecasting problem for the HNN model, which is based on fuzzy pattern-recognition and continuity equation.About:
This article is published in Engineering Applications of Artificial Intelligence.The article was published on 2015-11-01. It has received 159 citations till now. The article focuses on the topics: Metaheuristic & Ant colony optimization algorithms.read more
Citations
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A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran.
Khabat Khosravi,Binh Thai Pham,Kamran Chapi,Ataollah Shirzadi,Himan Shahabi,Inge Revhaug,Indra Prakash,Dieu Tien Bui +7 more
TL;DR: Results show that the ADT model has the highest prediction capability for flash flood susceptibility assessment, followed by the NBT, the LMT, and the REPT, respectively.
Journal ArticleDOI
Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran
TL;DR: In this article, water resources management in watersheds are managed under varying shares of water balance under different climatic conditions, and its correct prediction poses a significant challenge before water resource management.
Journal ArticleDOI
Simulation and forecasting of streamflows using machine learning models coupled with base flow separation.
Hakan Tongal,Martijn J. Booij +1 more
TL;DR: It was demonstrated that separating streamflow into different components such as base flow and surface flow can be useful for improving simulation and forecasting capabilities of machine learning models.
Journal ArticleDOI
A Hybrid Double Feedforward Neural Network for Suspended Sediment Load Estimation
Xiaoyun Chen,Kwok Wing Chau +1 more
TL;DR: In this paper, a hybrid double feed-forward neural network (HDFNN) model was proposed for sediment load estimation by combining fuzzy pattern-recognition and continuity equation into a structure of double neural networks.
Journal ArticleDOI
Monthly runoff time series prediction by variational mode decomposition and support vector machine based on quantum-behaved particle swarm optimization
TL;DR: Wang et al. as mentioned in this paper developed a hybrid model for monthly runoff prediction, where observed runoff is decomposed into several subcomponents via variational mode decomposition, and support vector machine models based on quantum-behaved particle swarm optimization are adopted to identify the input-output relationships hidden in each subcomponent.
References
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Journal ArticleDOI
Ant system: optimization by a colony of cooperating agents
TL;DR: It is shown how the ant system (AS) can be applied to other optimization problems like the asymmetric traveling salesman, the quadratic assignment and the job-shop scheduling, and the salient characteristics-global data structure revision, distributed communication and probabilistic transitions of the AS.
Posted Content
Comparing Predictive Accuracy
TL;DR: The authors describes the advantages of these studies and suggests how they can be improved and also provides aids in judging the validity of inferences they draw, such as multiple treatment and comparison groups and multiple pre- or post-intervention observations.
ReportDOI
Comparing Predictive Accuracy
TL;DR: In this article, explicit tests of the null hypothesis of no difference in the accuracy of two competing forecasts are proposed and evaluated, and asymptotic and exact finite-sample tests are proposed, evaluated and illustrated.
Journal ArticleDOI
Metaheuristics in combinatorial optimization: Overview and conceptual comparison
Christian Blum,Andrea Roli +1 more
TL;DR: A survey of the nowadays most important metaheuristics from a conceptual point of view and introduces a framework, that is called the I&D frame, in order to put different intensification and diversification components into relation with each other.