ISBN: 9783659930393 - forecasting of stock market prices using soft computing (6 resultados)

Paperback. Condición: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.

Taschenbuch. Condición: Neu. Forecasting of Stock Market Prices Using Soft Computing | Trapti Mishra (u. a.) | Taschenbuch | 60 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659930393 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In our world a number of things and events are unpredictable, among them stock market price is an entity that is highly impulsive. The stock market prices are fluctuating in an irregular manner. A number of researchers are doing hard work to predict the stock market prices. Expertise to forecast direction and exact value of upcoming stock market values is the essential issue in financial market to make money and profits. So forecasting the exact price and performance of stock market has become the area of interest. Though, because of high volatile nature of basic laws behind the financial time series, it is not any straightforward task to assemble such a forecasting system. To predict the upcoming stock market trends the data mining and machine intelligence based techniques are engaged to predict the prices precisely. The proposed work precisely approximate the stock prices by using back propagation neural network based practice. The comparative performance study is performed using the accuracy, error rate, memory and time consumption. According to the achieved results the performance of the anticipated technique is found improved and adoptable. 60 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In our world a number of things and events are unpredictable, among them stock market price is an entity that is highly impulsive. The stock market prices are fluctuating in an irregular manner. A number of researchers are doing hard work to predict the stock market prices. Expertise to forecast direction and exact value of upcoming stock market values is the essential issue in financial market to make money and profits. So forecasting the exact price and performance of stock market has become the area of interest. Though, because of high volatile nature of basic laws behind the financial time series, it is not any straightforward task to assemble such a forecasting system. To predict the upcoming stock market trends the data mining and machine intelligence based techniques are engaged to predict the prices precisely. The proposed work precisely approximate the stock prices by using back propagation neural network based practice. The comparative performance study is performed using the accuracy, error rate, memory and time consumption. According to the achieved results the performance of the anticipated technique is found improved and adoptable.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mishra TraptiMrs. Trapti Mishra has completed his M.E. in Computer Engineering fromIET, Devi Ahilya University, Indore, India. Dr. Vivek Kapoor is working asAssistant Professor in Information Technology Department at IET, DeviAhilya .…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In our world a number of things and events are unpredictable, among them stock market price is an entity that is highly impulsive. The stock market prices are fluctuating in an irregular manner. A number of researchers are doing hard work to predict the stock market prices. Expertise to forecast direction and exact value of upcoming stock market values is the essential issue in financial market to make money and profits. So forecasting the exact price and performance of stock market has become the area of interest. Though, because of high volatile nature of basic laws behind the financial time series, it is not any straightforward task to assemble such a forecasting system. To predict the upcoming stock market trends the data mining and machine intelligence based techniques are engaged to predict the prices precisely. The proposed work precisely approximate the stock prices by using back propagation neural network based practice. The comparative performance study is performed using the accuracy, error rate, memory and time consumption. According to the achieved results the performance of the anticipated technique is found improved and adoptable.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.…