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Its action was dictated by the command of this Court that 'an honest and intelligent forecast of probable future vlaues, made upon a view of all the relevant circumstances, is essential.' State of Missouri ex rel.
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This is the first study that presents an integrated intelligent forecasting approach for accurate gas consumption considering the economic, environmental and IT/IS indicators.
Meanwhile, increasing worldwide demand for different types of energy requires development of advanced intelligent forecasting tools to provide a basis from which decisions and plans can be made.
We understand a bit better about how they're determined so that we can make better, more intelligent forecasts of where they're headed.
We found that it is possible to enhance forecast accuracy and achieve significant risk reduction in managerial decision making by applying intelligent forecasting models based on latest information technologies.
This paper develops and investigates an ensemble learning based multistage intelligent approach to forecast 5 days global horizontal radiation at four given locations of India.
In this work, the model based on a feed-forward artificial neural network (ANN) optimized by hybrid genetic algorithm and particle swarm optimization (HGAPSO) as an intelligent approach to forecast asphaltene precipitation due natural depletion is proposed.
Get intelligent intelligence.
This study presents an adaptive intelligent algorithm for forecasting gasoline demand based of artificial neural network (ANN), conventional regression and design of experiment (DOE).
Although it is known in the literature that PM concentration time series behave like random walk, to the authors' knowledge there is no intelligent systems developed to forecast the PM concentration that consider this characteristic.
The benefits of adding adaptive and intelligent decision making to forecasts are also discussed.
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