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To expedite the training process, the authors design and develop different parallel and multithreaded neural network algorithms. The authors implement parallel neural network algorithms on both shared memory architecture using OpenMP and distributed memory architecture using MPI and analyze the performance of those algorithms. They also compare the results with traditional auto-regression model to establish accuracy.<\/p>","DOI":"10.4018\/jghpc.2011010103","type":"journal-article","created":{"date-parts":[[2011,10,19]],"date-time":"2011-10-19T16:23:58Z","timestamp":1319041438000},"page":"45-68","source":"Crossref","is-referenced-by-count":3,"title":["Performance Analysis of Sequential and Parallel Neural Network Algorithm for Stock Price Forecasting"],"prefix":"10.4018","volume":"3","author":[{"given":"Rashedur M.","family":"Rahman","sequence":"first","affiliation":[{"name":"North South University, Bangladesh"}]},{"given":"Ruppa K.","family":"Thulasiram","sequence":"additional","affiliation":[{"name":"University of Manitoba, Canada"}]},{"given":"Parimala","family":"Thulasiraman","sequence":"additional","affiliation":[{"name":"University of Manitoba, Canada"}]}],"member":"2432","reference":[{"key":"jghpc.2011010103-0","author":"G.Box","year":"1994","journal-title":"Time Series Analysis: Forecasting and Control"},{"key":"jghpc.2011010103-1","unstructured":"Dutta, S., & Shekhar, S. 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