The Extant Preventives in Determining Price of Shaves by Using Artificial Neural Network(In Metal and Mineral Industries) Roya Darabi Robabeh Karimi Raste Kenari (Received: 10/Apr/2014; Accepted: 12/Jun/2014) Abstract This study aims to investigate the extant preventives in determining price of shaves by using artificial nerve network in metal and mineral industries companies accepted in Tehran Securities Exchange. We applied two statistical analysis and nerve network methods for examination of hypnotizes. A questionnaire was created for statistical analysis method and statistical society including senior experts of securities exchange course and instructors Tehran Azad University, who are familiar with the concepts of nerve network and also forecasting shares prices. The research hypnotizes were dealt with use of t test and score, ultimately all hypnotizes were approved. In the nerve network, the assumptions of research were studied by the use of nerve network and after the distribution of the error and Market-Loren berg educational model and it was determined that while all the indexes were entered into the network as input, the for forecasts of prices do not enter into the network as precisely as the indexes do enter. Also, the rate of network error was increasing. The results of nerve network corresponded with the results of statistical analysis. In other words, in both methods, the indexes have been marked as obstacles for forecasting the shares prices by the use of nerve network method. Key Words: Nerve Network, Forecast of Shares Price, Relative Strength Index, Rate of Shares Cost Index, After Distribution of Error.
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