[PDF] Top 20 Forecasting Natural Gas Prices Using Wavelets, Time Series, and Artificial Neural Networks.
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Forecasting Natural Gas Prices Using Wavelets, Time Series, and Artificial Neural Networks.
... daily prices, NASDAQ daily index values, and S&P 500 daily index ...better forecasting performance when the noise was removed, ...ARIMA, and Radial Basis Function Neural ... See full document
23
Forecasting Short Term Electricity Price Using Artificial Neural Network and Fuzzy Regression
... participants and identify solution of those games ...price forecasting the exact model of the system is built ...data and also they are complicated to implement and their computational cost is ... See full document
8
An Artificial Neural Network for Data Forecasting Purposes
... of time series ...of artificial neural networks (ANN) in solving the forecast task in the most general case, when the time series are ...feed-forward neural ... See full document
12
Forecasting the Portuguese stock market time series by using artificial neural networks
... Time series analyses and in particular forecasting of financial data have attracted some special attention in the last ...nature and the complex behaviour of this type of data transform ... See full document
14
Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks
... an artificial NN approach for nonlinear modelling of multivariate streamflow ...Lachtermacher and Fuller (1994) modelled annual streamflow series using multi-layer feed- forward ... See full document
14
APPLYING THE ARTIFICIAL NEURAL NETWORK METHODOLOGY FOR FORECASTING THE TOURISM TIME SERIES
... models and apply them to sensitivity studies in order to predict the ...Portugal and contributes to already existing econometric studies by using the Artificial Neural Networks ... See full document
6
Short-Term Load Forecasting Using Artificial Neural Network
... load forecasting methodologies as reported in [1] have their own ...Load forecasting can be performed using many techniques such as regression analysis, statistical methods, artificial ... See full document
6
Agent-based distributed time series forecasting system
... economic forecasting is based almost only on the theory of probability and mathematical ...(using artificial neural networks, pattern recognition, genetic algorithms, ... See full document
11
Time Series Forecasting of Energy Commodity using Grey Wolf Optimizer
... various forecasting techniques for the said time series ...price forecasting was implemented based on an improved Back Propagation Neural Network ...Algorithm and Feed Forward ... See full document
6
Forecasting Rainfall Time Series with stochastic output approximated by neural networks Bayesian approach
... model and simulate monthly rainfall time series from one geographical location of Catamarca, Valle El Viejo ...the time series prediction is mathematical and computational ... See full document
6
Evaluation of deciduous broadleaf forests mountain using satellite data using neural network method near Caspian Sea in North of Iran
... city and explain the factors influencing these changes using remote sensing and ...2000 and 2013 will be used. Research methodology will be done using neural network ... See full document
6
N EURALN ETWORKS C RISTIANOR
... backpropagation neural net- work developed using a maximum likelihood objective function will converge to the same solution as a plain logistic regression ...of neural networks and ... See full document
46
Masonry Compressive Strength Prediction Using Artificial Neural Networks
... the time between the production of the specimen and its actual measurement, the samples must be properly stored and cured, a process that demands plenty of space with speci fic ...staff and ... See full document
25
Artificial neural networks and multiple linear regression model using principal components to estimate rainfall over South America
... areas and is widely accepted by the scientific ...of using ANNs for the ...inherent networks that allow this tech- nique can perform functions that a linear program (such as MLR) can ...a ... See full document
8
Digital soil mapping using reference area and artificial neural networks
... variance and network architecture obtained in the best perfor- mance which allowed for contrasting different results and choosing the neural network to be used to produce the ...(0.778) and ... See full document
8
VOICE RECOGNITION USING ARTIFICIAL NEURAL NETWORKS AND GAUSSIAN MIXTURE MODELS
... database and an external MySQL ...codebook, and the trained neural ...captured and enrolled the utterances of 40 speakers (students of the university) comprising 25 male speakers and 15 ... See full document
10
ELECTRICITY MARKET PRICE FORECASTING BY GRID COMPUTING OPTIMIZING ARTIFICIAL NEURAL NETWORKS
... By implementing grid computing middleware, which is often implemented in the form of a screensaver (Berman, Fox, and Hey, 2003) on the virtual slave machines, computationa[r] ... See full document
12
Marine Diesel Engine Condition Monitoring by Use of BP Neural Network
... The research on faster algorithms falls roughly into two categories. The first category involves the development of heuristic techniques, which arises out of a study of the distinctive performance of the standard back ... See full document
4
J. Microw. Optoelectron. Electromagn. Appl. vol.12 número1
... switching and material properties that can enable reconfigurability (iii) lack of hard evidence that shows significant system level performance benefits ... See full document
7
Comparative analysis of Recurrent and Finite Impulse Response Neural Networks in Time Series Prediction
... over-fitting, and the predictions might go out of ...a forecasting model has too few degrees of ...parameters and therefore is able to memorize individual points rather than learn general ...over ... See full document
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