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Case Studies | Computer Science & Engineering | Iraq | Volume 6 Issue 7, July 2017
A Hopfield Neural Network Based Building Agent for Detection and Correction of Programming Errors
Dr. Buthainah F. AL-Dulaimi, Hameed Taha Khaleel
Abstract: A syntax error is an error in the sequence of characters or tokens that in a particular programming language may be detected during program execution or compilation. Detection and correction of syntax errors present the difficulties that face all beginner programmers especially the arrangement sequence of the tokens in the program code. In this paper, the proposed system is developing an agent to perform the detection and correction syntax errors according to Hopfield technique through processing each token individually using Java programming language. Our technique applied to (250-line code in Java program language) as the case study. It can select the specific (100 sentence that starts with the For). Then it can be (detection 60 and correct 53 from 73-syntax error).
Keywords: Correction syntax error, Hopfield Neural network, Agent, Simple reflex agent, Java
Edition: Volume 6 Issue 7, July 2017,
Pages: 1357 - 1362
How to Cite this Article?
Dr. Buthainah F. AL-Dulaimi, Hameed Taha Khaleel, "A Hopfield Neural Network Based Building Agent for Detection and Correction of Programming Errors", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=ART20175572, Volume 6 Issue 7, July 2017, 1357 - 1362
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