Search Results - (( rainfall optimization based algorithm ) OR ( probable optimization based algorithm ))
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Rainfall modeling using two different neural networks improved by metaheuristic algorithms
Published 2024“…The results indicated that the MLP�HGSO performed better than the other models in forecasting rainfall at both stations. In addition, transition matrices were computed for each station and year based on the conditional probability of rainfall or absence of rainfall on a given month. …”
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Flash floods prediction using real time data: an implementation of ANN-PSO with less false alarm
Published 2019“…The results include flood probabilities and prediction analysis using proposed algorithm.…”
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Proceeding Paper -
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Rainfall time series modeling for a mountainous region in West Iran
Published 2010“…The models were trained based on the Levenberg-Marquardt algorithm with tansigmoid activation function for the hidden layer and purelin activation function for the output layer. …”
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Thesis -
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SINE COSINE ALGORITHM BASED NEURAL NETWORK FOR RAINFALL DATA IMPUTATION
Published 2024“…This chapter presents the ability of the sine cosine algorithm-based neural network (SCANN) to predict and optimize missing rainfall at different percentages of missing rates. …”
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Book Chapter -
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MISSING DAILY RAINFALL PREDICTION USING GREY WOLF OPTIMIZER-BASED NEURAL NETWORK
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Book Chapter -
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Improved flower pollination optimization algorithm based on swap operator and dynamic switch probability selection
Published 2023“…This research proposed an algorithm which is based on dynamic switch probability to control the balance between exploration and exploitation which increases its searchability. …”
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DEVELOPMENT OF MULTI-VERSE OPTIMIZER IN ARTIFICIAL NEURAL NETWORK FOR ENHANCING THE IMPUTATION ACCURACY OF DAILY RAINFALL OBSERVATIONS
Published 2024“…This research study introduces an innovative approach to infill missing rainfall data by combining the Multi-Verse Optimizer (MVO) with a feedforward neural network (FNN) to form the Multi-Verse Optimizer Feedforward Neural Network (MVOFNN). …”
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Book Chapter -
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Rainfall-runoff model based on ANN with LM, BR and PSO as learning algorithms
Published 2019“…The performances of the learning algorithms are compared and evaluated based on a 12-hour prediction model. …”
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Clustering of rainfall data using k-means algorithm
Published 2019“…K-Means algorithm is used to obtain optimal rainfall clusters. …”
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Conference or Workshop Item -
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VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern
Published 2012“…GA is a widely used optimization algorithm based on the concept of survival of the fittest. …”
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Thesis -
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Rainfall-rinoff model based on ANN with LM, BR and PSO as learning algorithms
Published 2019“…The performances of the learning algorithms are compared and evaluated based on a 12-hour prediction model. …”
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Q-learning whale optimization algorithm for test suite generation with constraints support
Published 2023“…This paper introduces a new variant of a metaheuristic algorithm based on the whale optimization algorithm (WOA), the Q-learning algorithm and the Exponential Monte Carlo Acceptance Probability called (QWOA-EMC). …”
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Tree-based contrast subspace mining method
Published 2020“…Hence, this thesis presents the optimization of parameters values for the tree-based method by genetic algorithm. …”
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Power allocation optimization for oam-mimo systems with unaligned antennas
Published 2022“…Numerical results show that the error probability reduction of the OAM-MIMO transmission system by using the proposed optimization algorithm is up to 26.1 dB.…”
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Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model
Published 2023Conference Paper -
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The effect of GA parameters on the performance of GA-based QoS routing algorithm
Published 2023“…Genetic algorithm (GA) is a powerful search and optimization algorithm inspired by the theory of genetics and natural selection. …”
Conference paper -
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The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment
Published 2016“…Significant research has been conducted on Unmanned Aerial Vehicle (UAV) path planning using evolutionary algorithms, such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Differential Evolution (DE), and Biogeographic-Based Optimization (BBO). …”
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