In this investigation, a fan-beam photon attenuation based system, including one X-ray tube and two sodium iodide crystal detectors, combined with group method of data handling (GMDH) neural network is proposed to recognize type flow regime predict gas-oil–water volume fractions three phase flow. One GMDH was considered for recognizing patterns networks were implemented the fractions. The recor...

Geographically distributed and time-phased ecological and socio-economical indices are treated as source data for the analysis, carried out for taking reasoned management decision. Analysis complexity, related to multi-dimensional data is overcome thanks to using group methods of data handling (GMDH). This work shows the results of Ukraine's regions cluster analysis by the totality of ecologica...

conventionally, regression and time series analyses have been employed in modeling water demand forecasts. in recent years, the relatively new technique of neural networks (nns) has been proposed as an efficient tool for modeling and forecasting. the objective of this study is to investigate the relatively new technique of gmdh – type neural networks for the use of forecasting long – term urban...

Review Abstract: At present, GMDH algorithms give us the only way to get accurate identification and forecasts of different complex processes in the case of noised and short input sampling. In distinction to neural networks, the results are explicit mathematical models, obtained in a relative short time. For ill-defined objects with very big noises better results should be obtained by analogues...

There has been a significant increase in construction and demolition (C&D) waste due to the growth of cities need for new construction, raising concerns about impact on environment these wastes. By utilising recycled C&D waste, especially concretes used further environmental damage can be prevented. using concretes, energy consumption impacts concrete production reduced. The behaviour t...