[PDF] Top 20 Predicting India Volatility Index: An Application of Artificial Neural Network

... the India VIX ...of India VIX index to help predict the next trading day's close ...(CC) index values followed by previous day's high (PH), low (PL) and close (PC) index ... See full document

... in predicting renal colic according to the results of this ...for predicting genetic factors in stone disease [7], stone composition [8], spontaneous passage of ureteral calculi [9], and outcome after ... See full document

... the network created by learning the patterns of relationships among data had appropriate capability in predicting the mechanical properties of canola ...Hence, artificial intelligence can be useful ... See full document

... that volatility in a rising market is less than the volatility in a falling ...model volatility under the conditions of asymmetric reaction of the investors / leverage ...the volatility of ... See full document

... propagation neural network endeavors to predict the financial ratios expressing the position of a firm to regulate the bankruptcy and assess the credit viability when a bank requires credit and can also be ... See full document

... work, neural networks with error back-propagation learning algorithms were applied for predicting three important farinograph properties of dough (water absorption, dough development time and farinograph ... See full document

... This paper explores total heat load and total carbon emissions of a six storey building by using artificial neural network (ANN). Parameters used for the calculation were conduction losses, ... See full document

... forward neural networks for the representation of the mutual effect of this relationship have been used in some studies [23, ...the artificial neural networks to provide a new method for ... See full document

... an artificial neural network (ANN) application of load frequency control (LFC) of a Multi-Area power system by using a neural network controller is ...proposed artificial ... See full document

... the application and the usefulness of artificial neural network based model for estimation of daily evaporation over a ...of neural network based modelling technique in better ... See full document

... modeling, and under field condition tests are used to evaluate sprays (Fritzet al., 2012). Using the mentioned methods and protocols, researchers have studied spray flow (Deleleet al., 2005; Endalew et al., 2010; Endalew ... See full document

... observe that there is an application limitation of this model when V is equal to 0 m s -1 , due to the occurrence of a division by zero in the calculation of THVI. Thus, the comparisons were accomplished based on ... See full document

... of artificial intelligence to accomplish tasks which are complex but need human ...an application of knowledge process within which skilled patterns and knowledge is ...implement artificial ... See full document

... like Artificial Neural Network (ANN), which are being used for the design of prediction models of quality ...the application of ANN for software quality prediction using Object-Oriented (OO) ... See full document

... the application of principal component analysis (PCA) and artificial neural network (ANN) to pre- dict the air pollutant index (API) within the seven selected Malaysian air monitoring ... See full document

... hydrolysis. Artificial Neural Networks (ANNs) are very effective in developing predictive models for processes involving complex reaction kinetics that would otherwise be difficult to be modeled by more ... See full document

... Concrete is one of the oldest materials in the construction industry which is a mixture of paste and aggregates. Concrete production is a complex process that involves the effect of several processing parameters on the ... See full document

... resources application which includes time – series prediction for rainfall forecasting, rainfall – runoff processes and river salinity, modeling soil and water table fluctuation, pesticide movement in soils, water ... See full document

... series. Artificial Neural Networks (ANNs) were introduced as an efficient tools of modeling and forecasting since two ...The artificial neural networks can model, map, and as well as can ... See full document

... Back-propagation (BP) algorithms are the most popular training algorithms that are widely used due to their simplicity and the application for training FF-NN (Kulluk, 2013). In FF-BP networks, which are considered ... See full document