@article{(Open Science Index):https://publications.waset.org/pdf/5034, title = {Investigation of Some Technical Indexes inStock Forecasting Using Neural Networks}, author = {Myungsook Klassen}, country = {}, institution = {}, abstract = {Training neural networks to capture an intrinsic property of a large volume of high dimensional data is a difficult task, as the training process is computationally expensive. Input attributes should be carefully selected to keep the dimensionality of input vectors relatively small. Technical indexes commonly used for stock market prediction using neural networks are investigated to determine its effectiveness as inputs. The feed forward neural network of Levenberg-Marquardt algorithm is applied to perform one step ahead forecasting of NASDAQ and Dow stock prices.}, journal = {International Journal of Computer and Information Engineering}, volume = {1}, number = {5}, year = {2007}, pages = {1438 - 1442}, ee = {https://publications.waset.org/pdf/5034}, url = {https://publications.waset.org/vol/5}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 5, 2007}, }