The results in Table 9 indicate that the utilized SVR forecasting method is successful in forecasting the presidential election results in the last three elections.
Recent studies have illustrated that empirical methods and models are helpful in forecasting the amount of solar radiation and despite their acceptable accuracy, using novel methods such as Artificial Neural Network (ANN) modeling enables researchers to make even more accurate predictions.
Against the GCA + SCA MLE, however, any method using hierarchical shrinkage is twice as successful in forecasting new phenotypes.
So, we solved the problem of improving standardization systems, licensing, certification, environmental safety requirements, design and research activities in the building and operation of municipal services, in particular, improving methods of forecasting air pollution by solid particles contained in emissions released from the production of heat and electricity by burning coal.
The archivable value of this paper is to demonstrate the impact that investor expectations can have on investment decisions, a facet not captured in traditional methods of forecasting.
In this article, methods of forecasting wind properties are reviewed, a methodology is developed that incorporates the general principles of ANN-RBF, ANFIS and ANN-PSO models, and the methodology is applied to a case study using wind speed data as an input, and the results obtained with the models and their error analyses are discussed.
In this study, four methods of forecasting using artificial intelligence (artificial neural networks with radial basis function, adaptive neuro-fuzzy inference system, artificial neural network-genetic algorithm hybrid and artificial neural network-particle swarm optimization) are utilized to accurately forecast short-term wind speed data for Tehran, Iran.
This is especially remarkable, as quite a lot of research is involved in improving virtual screening methods in order to forecast activity.
