genetic algorithm forecasting model
Improvement of Forecasting Accuracy by the Utilization of Genetic Algorithm in the Case of the Sanitary Materials Data
... Bayes Forecasting [7] , adaptive ESM [8] , exponentially weighted Moving Averages with irregular updating periods [9] , making averages of forecasts using plural method [10] are ...ARMA model equation, a ...
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Weights Optimization Based on Genetic Algorithm for Variable Weight Combination Model of BP LSSVM for Day ahead Electricity Price Forecasting
... Single model could not meet the increasing requirements of the prediction accuracy. Thus, the research of the combination models is rapidly developing. The superiority of these combination models is to take full ...
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Modeling and control of heat exchanger by using bio inspired algorithm
... a Genetic Algorithm, are especially ...in Genetic Algorithm (Engelbrecht ...ARMAX model for Short-term Load Forecasting ...PSO algorithm is described by Equation ...
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Research and Implementation of SVM Optimized by Group Genetic Algorithm in Micro grid Load Forecasting
... SVM algorithm in load forecasting needs artificial experience to set the parameters of C and kernel parameters of , which will have a certain impact on the adaptability of the ...of model ...
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The Residual Potential of Bottom Water Reservoir Based upon Genetic Algorithm for the Relative Permeability Inversion
... and forecasting residual recoverable reserves had been made by investigators, but rarely involved in horizontal wells’ in bottom wa- ter ...in forecasting residual recoverable reserves in the practical ...
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An Effective Artificial Neural Network based Power Load Prediction Algorithm
... Genetic Algorithm (GA) is a heuristic search technique which is widely used to find the optimal ...hybridized model of ANN with GA is used to optimize the number of input neurons and the number of ...
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Inflation and unemployment forecasting with genetic support vector regression
... (NNs), Genetic Algorithms (GAs) and Support Vector Machines (SVMs), attempt to model human cognitive abilities, such as reasoning, learning and decision making, which makes them useful in forecasting ...
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Applying Principal Component Analysis, Genetic Algorithm and Support Vector Machine for Risk Forecasting of General Contracting
... application model of risk management frame system is presented by analyzing the source and characteristic of the engineering risk, and the theory of the risk ...The model based on fuzzy mathematic and ...
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A Survey of Stock Forecasting Model Based on Artificial Intelligence Algorithm
... LM algorithm with the adaptive neural network fuzzy reasoning system (ANFIS), which reduced the error and had higher accuracy than ANFIS and traditional LM ...adaptive genetic algorithm, establishing ...
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PLACEMENT AND SIZING OF DISTRIBUTED GENERATORS IN DISTRIBUTED NETWORK BASED ON LRIC AND LOAD GROWTH CONTROL
... demand forecasting and obtained a good forecasting accuracy ...load forecasting [4], and in the review, he pointed out that the back propagation artificial neural network (BPNN) is the most popular ...
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GA-ANN Short-Term Electricity Load Forecasting
... load forecasting based on genetic algorithm feature selection and artificial neural network ...to model the 24-h ahead load based on past consumption, weather and stock index ...A ...
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A Two Phase Algorithm for Fuzzy Time Series Forecasting using Genetic Algorithm and Particle Swarm Optimization Techniques
... Hybrid Genetic Algorithm and Particle Swarm Optimization Based Fuzzy Time Series Model TAIFEX and KSE-100 Forecasting”, NAUN-First International Confernce on Biological Inspired Computation, ...
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DEEPWATER PRODUCTION FORECASTING USING COMPUTATIONAL INTELLIGENCE TECHNIQUES
... production forecasting is indeed an important step for the management and planning of petroleum ...with genetic algorithm ...in forecasting petroleum reservoir productions without sufficient ...
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Box-jenkins and genetic algorithm hybrid model for electricity forecasting system
... the forecasting using time series method and ...series forecasting and GA procedures, models and ...series forecasting model especially Box-Jenkins methodology for ARIMA ...series model ...
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Forecasting energy consumption using ensemble ARIMA–ANFIS hybrid algorithm
... ANFIS model for forecasting monthly electricity demand in Iran and yielded good results compared to time series model, genetic algorithm and neural ...and genetic- ANFIS hybrid ...
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APPLICATION OF CELLULAR AUTOMATA FOR MODELING AND REVIEW OF METHODS OF MOVEMENT OF A GROUP OF PEOPLE
... market forecasting of price/index has always been an important financial ...inputs, genetic algorithm (GA) to select significant features, backpropagation neural (BPN) to predict future stock price ...
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Improved Leakage Model Based on Genetic Algorithm
... In GA, a population of candidate solutions which called individuals to an optimization problem is evolved toward better solutions. Each candidate solution has a set of properties which can be altered and mutated. ...
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An Elman Model Based on GMDH Algorithm for Exchange Rate Forecasting
... GMDH algorithm has gradually become an effective tool in many fields such as modeling, forecasting, and decision support and pattern recognition of complex systems, data mining, intelligent ...
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24-Hours Load Forecasting Using a Hybrid of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for Optimized Neural Network
... PERATORS Genetic Algorithms (GA) is heuristic search methods inspired by natural selection (Fraser, 1957; Bremermann, 1958; Holland, 1975) [26] [27], Based on the principle of survival of the fittest,[27] It is ...
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RVM based on PSO for Groundwater Level Forecasting
... for forecasting the groundwater levels using conceptual models that are not only laborious, but also have practical limitations, In the recent past, soft computing tools like Support Vector Machine （ SVM ） has ...
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