In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a backward selection by successively removing input nodes in a network trained with the complete set of variables as inputs. Input nodes are removed, along with their connections, and remaining weights are adjusted in such ...

in this study, a prediction model based on support vector machines (svm) improved by introducing a volume weighted penalty function to the model was introduced to increase the accuracy of forecasting short term trends on the stock market to develop the optimal trading strategy. along with vw-svm classifier, a hybrid feature selection method was used that consisted of f-score as the filter part ...

We present a quick and straightfoward way of input selection for neuro-fuzzy modeling using ANFIS. The method is tested on two real-world problems: the non-linear regression problem of automobile MPG (miles per gallon) prediction, and the nonlinear system identi-cation using the Box and Jenkins gas furnace data 1].

Feature selection is called wrapper whenever the classification algorithm is used in the selection procedure. Our approach makes use of linear classifiers wrapped into a genetic algorithm. As a proof of concept we check its performance against the UCI spam filtering problem showing that the wrapping of linear neural networks is the best. However, making sense of data involves not only selecting...

This paper addresses the problem of Near Duplicate document. Propose a new method to detect near duplicate document from a large collection of document set. This method is classified into three steps. Feature selection, similarity measures and discriminant function. Feature selection performs pre-processing; calculate the weight of each terms and heavily weighted term is selected as a features ...

in this paper, financial services in the iranian as a sector with a leontief production function, this sector buys inputs from other sectors for its productions and provides services to expedite the cash fellows and risk transformation to other sectors, the first relations are called backward linkage and the later relations are called forward linkage, for quantification of the linkage , employm...

This paper presents the results of an experiment comparing mouse, penand touch-inputs in computerized figural creativity test. The results show no statistically significant differences in creativity scores obtained by participants using mentioned devices as computer input methods. The results indicate that creativity testing can be introduced to a variety of modern computer devices with insigni...

The common use of mobile terminals is for text input. However, mobile terminals cannot be equipped with sufficient amount of keys because of the physical restrictions. To solve this problem we developed an input method using surface electromyogram (sEMG), treating arm muscle movements as input signals. This method involves no physical keys and can be used to input Japanese texts. In our experim...