Parametric Bootstrap for Test of Contrast Difference in Neural Networks
نویسندگان
چکیده
This work concernes the contrast difference test and its asymptotic properties for non linear auto-regressive models. Our approach is based on an application of the parametric bootstrap method. It is a re-sampling method based on the estimate parameters of the models. The resulting methodology is illustrated by simulations of multilayer perceptron models, and an asymptotic justification is given at the end.
منابع مشابه
Parametric bootstrap for asymptotic test of contrast difference in neural networks
This work concernes the contrast difference test and its asymptotic properties for non linear auto-regressive models. Our approach is based on an application of the parametric bootstrap method. It is a re-sampling method based on the estimate parameters of the models. The resulting methodology is illustrated by simulations of multilayer perceptron models, and an asymptotic justification is give...
متن کاملMonitoring of Regional Low-Flow Frequency Using Artificial Neural Networks
Ecosystem of arid and semiarid regions of the world, much of the country lies in the sensitive and fragile environment Canvases are that factors in the extinction and destruction are easily destroyed in this paper, artificial neural networks (ANNs) are introduced to obtain improved regional low-flow estimates at ungauged sites. A multilayer perceptron (MLP) network is used to identify the funct...
متن کاملComparing two testing procedures in unbalanced two-way ANOVA models under heteroscedasticity: Approximate degree of freedom and parametric bootstrap approach
The classic F-test is usually used for testing the effects of factors in homoscedastic two-way ANOVA models. However, the assumption of equal cell variances is usually violated in practice. In recent years, several test procedures have been proposed for testing the effects of factors. In this paper, the two methods that are approximate degree of freedom (ADF) and parametric bootstr...
متن کاملApplication of ANN Technique for Interconnected Power System Load Frequency Control (RESEARCH NOTE)
This paper describes an application of Artificial Neural Networks (ANN) to Load Frequency Control (LFC) of nonlinear power systems. Power systems, such as other industrial processes, have parametric uncertainties that for controller design had to take the uncertainties in to account. For this reason, in the design of LFC controller the idea of robust control theories are being used. To improve ...
متن کاملSteganalysis of embedding in difference of image pixel pairs by neural network
In this paper a steganalysis method is proposed for pixel value differencing method. This steganographic method, which has been immune against conventional attacks, performs the embedding in the difference of the values of pixel pairs. Therefore, the histogram of the differences of an embedded image is di_erent as compared with a cover image. A number of characteristics are identified in the di...
متن کامل