Abstract Thermal conductivity is an important property for many iron cast components, and the lack of widely accepted thermal model iron, especially grey motivates efforts in this research area. The present study contributes to understanding effects alloy microstructure has on conductivity. A a pearlitic been proposed, based as-cast composition microstructural parameters obtained at different s...

High-quality products are considered as one of the most important practices for achieving success. However, it is really hard to predict and forecast the product quality due to some undetermined parameters. In order to forecast product quality from various aspects, we propose an integrated model of utilizing grey theory and neural network. In this paper, the grey forecasting model for product q...

If there are grey variables in the constraint conditions in uncertain programming, the programming is called grey chance constrained programming. In this paper we provide the concept of grey chance constrained programming. When the whitenization weight functions of grey variables are known and the distribution functions are constructed, we studied the certainty equivalence solution of grey chan...

introduction: huntington disease (hd) is a progressive neurodegenerative disease which affects movement control system of the brain. hd symptoms lead to patient’s gait change and influence stride time intervals. in this study, we present a grey box mathematical model to simulate hddisorders. this model contains main physiological findings about bg. methods: we used artificial neural networks (a...

The grey system theory, which has been extensively used in many areas, is appropriate for forecasting. It is necessary to put forward new models or algorithms to improve its performance, especially for forecast accuracy. In the forecast process of grey model, the size of data sample and the number of variables can affect forecast accuracy. In this paper, we first put forward a new method to cho...

Prediction of alkalinity in sintering process is difficult. Whether the level of the alkalinity of sintering process is successful or not is directly related to the quality of sinter. There is no good method, prediction of alkalinity by high complexity, the present nonlinear, strong coupling, high time delay, so the recent new technology, grey least square support vector machine have been intro...