Granular neural web agents for stock prediction

  title={Granular neural web agents for stock prediction},
  author={Yanqing Zhang and Somasheker Akkaladevi and George J. Vachtsevanos and Tsau Young Lin},
  journal={Soft Comput.},
A granular neural Web-based stock prediction agent is developed using the granular neural network (GNN) that can discover fuzzy rules. Stock data sets are downloaded from website. These data sets are inserted into the database tables using a java program. Then, the GNN is trained using sample data for any stock. After learning from the past stock data, the GNN is able to use discover fuzzy rules to make future predictions. After doing simulations with six different stocks (msft… CONTINUE READING
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