In this paper we are finding input-output dependencies of feed-forward neural network which usually behaves as black box. It is very important and difficult to find or evaluate those especially for multi-input/output data approximation. We will use small be trained on a given in MATLAB Mathworks. Network simulated standalone .NET application.

The solar photovoltaic (PV) systems are facing serious problems due to unavoidable losses in their system, leads to more devation of output power from the input power level. This effect is known as a mismatch effect and is available in PV systems. Many losses are encountered in PV system and it is difficult to minimize such losses. In this paper, the influence of thermal effect on the solar PV ...

This paper compares three models of the output gap in New Zealand – the Reserve Bank of New Zealand’s incumbent MV filter, estimates from a Structural VAR, and a multivariate unobserved components model – and investigates whether there are features that are consistent across the measures of the gap. Various detrending methods are used for benchmarking the output gap measures, including a linear...

We analyse the use of current and forward-looking data in setting monetary policy (Taylor rule). answer question whether is to be preferred over data. a behavioural macroeconomic model that generates periods tranquillity alternating with crisis characterized by fat tails distribution output gap. find our depends on nature regime. In general, strict inflation targeting regime leads lower quality...

I propose a novel method of estimating the potential level of U.S. GDP in real time. The proposed wage-based measure of economic potential remains virtually unchanged when new data are released. The distance between current and potential output – the output gap – satisfies Okun’s law and outperforms many other measures of slack in forecasting inflation. Thus, I provide a robust statistical tool...

for helpful comments on earlier drafts. All remaining errors and omissions are the author's. Comments and criticisms are welcome. ABSTRACT This paper estimates potential output using a number of statistical trend methods and a Cobb Douglas production function. Two measures of the output gap using the Cobb Douglas production function method are estimated. One measure models technology as a linea...

This paper analyses the impact of using different macroeconomic variables and output decompositions to estimate the euro area output gap. We estimate twelve multivariate unobserved components models with phase shifts being allowed between individual cyclical components. As output decomposition plays a central role in all multivariate models, three different output decompositions are utilised; t...

Biomedical datasets usually include a large number of features relative to the number of samples. However, some data dimensions may be less relevant or even irrelevant to the output class. Selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. To this end, this paper presents a hybrid method of filter and wr...

in the present study, an application of multilevel modeling approach to the input- output analysis are presented first, the regional input-output table of all provinces in iran was extracted based on the adjusted flegg location quotient method (aflq). second differentiation in the leontief technical coefficients and the backward and forward linkages among various activities and sectors of all p...