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Optimizing Load Forecasting Configurations of Computational Neural Networks
Ali R. Al-Roomi
,
Mohamed E. El-Hawary
Office of Academic Affairs
Arts and Humanities
科研成果
:
图书/报告稿件的类型
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会议稿件
7
引用 (Scopus)
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指纹
探究 'Optimizing Load Forecasting Configurations of Computational Neural Networks' 的科研主题。它们共同构成独一无二的指纹。
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Keyphrases
Activation Function
14%
Algorithm of Functioning
14%
Artificial Neural Network
100%
Biogeography-based Optimization
14%
Brilliant
14%
Computational Neural Networks
100%
Current Forecasting
14%
Electric Power System Engineering
14%
Evolutionary Algorithms
14%
Feedback Network
14%
Feedforward Network
14%
Feedforward-feedback
14%
Forecasting Tool
14%
Intelligent Algorithm
14%
Load Demand Forecasting
14%
Load Forecasting
100%
Multilayer Feed-forward
14%
Nova Scotia
14%
Numerical Simulation
14%
Precise Method
14%
Recurrent Feedback
14%
Training Algorithm
14%
Engineering
Activation Function
14%
Artificial Neural Network
100%
Computer Simulation
14%
Demand Forecasting
14%
Electric Power Systems
14%
Energy Engineering
14%
Feedback Network
14%
Feedforward
42%
Load Forecasting
100%
Main Type
14%
Power Engineering
14%
Recurrent
14%
Computer Science
Activation Function
14%
Artificial Neural Network
100%
Biogeography Based Optimization
14%
Evolutionary Algorithms
14%
Feedforward Network
14%
Multilayer Feed
14%
Neural Network
100%
Numerical Simulation
14%
Optimization Algorithm
14%
training algorithm
14%
Mathematics
Artificial Neural Network
100%
Evolutionary Algorithm
14%
Neural Network
100%
Numerical Simulation
14%
Stochastics
14%
Chemical Engineering
Neural Network
100%