GMDH: An R Package for Short Term Forecasting via GMDH-Type Neural Network Algorithms
نویسندگان
چکیده
منابع مشابه
GMDH: An R Package for Short Term Forecasting via GMDH-Type Neural Network Algorithms
Group Method of Data Handling (GMDH)-type neural network algorithms are the heuristic self organization method for the modelling of complex systems. GMDH algorithms are utilized for a variety of purposes, examples include identification of physical laws, the extrapolation of physical fields, pattern recognition, clustering, the approximation of multidimensional processes, forecasting without mo...
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Authors have developed a Group Method of Data Handling (GMDH) type algorithm for designing multilayered neural networks. The algorithm is general enough that it will accept any number of inputs and any sized training set. Each neuron of the resulting network is a function of two of the inputs to the layer. The equation for each of the neurons is a quadratic polynomial. Several forms of the equa...
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Traffic flow forecasting, the core element of intelligent transportation system, plays an important role in traffic information services and traffic guidance. Since neural network prediction needs plenty of training samples, it cannot guarantee the real-timeness of traffic flow forecasting. In this paper, a GMDH network was constructed by self-organization, and the network was applied to traffi...
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ژورنال
عنوان ژورنال: The R Journal
سال: 2016
ISSN: 2073-4859
DOI: 10.32614/rj-2016-028