@article{2425,
  author = {Ahdieh Rahimi Garakani},
  title = {Stock Price Prediction Using Multilayer Perceptron Neural Network by Monitoring Frog Leaping Algorithm},
  journal = {Journal of Intelligent Computing},
  year = {2018},
  volume = {9},
  number = {1},
  doi = {},
  url = {http://www.dline.info/jic/fulltext/v9n1/jicv9n1_2.pdf},
  abstract = {In the modern world, human is daily involved in many decision-makings in diverse markets, and any suggestion which can improve accuracy of decisions or reduce the decision making time is attractive and valuable. One of the developing markets in which advantages of decision support systems are very evident and it is monetary in the capital markets
including the stock market. Actors of this market purchase shares of companies and thereby make a profit or loss by accepting future share risk. This study collected data from the Tehran Stock Exchange database; then, main features of data were extracted by using wavelet transform method and applied as inputs for prediction to multilevel perceptron neural network trained by frog leaping algorithm. The results were compared with radial basis function neural network trained with frog leaping algorithms.},
}