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Lembaga Penelitian Pengabdian Masyarakat Universitas Nusa Mandiri
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ANALISA EFEKTIFITAS METODE FORWARD CHAINING DAN BACKWARD CHAINING PADA SISTEM PAKAR
Keywords:
Backward Chaining, Forward Chaining, Sistem Pakar
Abstract
The use of forward-chaining and backward-chaining in an expert system is something usual. Where forward-chaining is a data-driven algorithm, while backward-chaining is goal-driven. Both methods are usually used for reasoning. Here, the writer will analyze effectively both method in their using for an expert system.
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References
Ajlan, A. (2015). The Comparison Between Forward and Backward Chaining. International Journal of Machine Learning and Computing, 106-113.
Hunt, D. (1986). Artificial Intelligence & Expert System Source Book. New York: Chapman and Hall.
Russel, S., & Norvig, P. (2010). Artificial Intelligent A Modern Approach Third Edition. New Jersey: Pearson Education.
Sharma, T., Tiwari, N., & Kelkar, D. (2012). Study of Difference Between Forward and Backward Reasoning. Ijetae, 271-273.
Hunt, D. (1986). Artificial Intelligence & Expert System Source Book. New York: Chapman and Hall.
Russel, S., & Norvig, P. (2010). Artificial Intelligent A Modern Approach Third Edition. New Jersey: Pearson Education.
Sharma, T., Tiwari, N., & Kelkar, D. (2012). Study of Difference Between Forward and Backward Reasoning. Ijetae, 271-273.
Published
2018-09-15
How to Cite
Akil, I. (2018). ANALISA EFEKTIFITAS METODE FORWARD CHAINING DAN BACKWARD CHAINING PADA SISTEM PAKAR. Jurnal Pilar Nusa Mandiri, 13(1), 35-42. https://doi.org/10.33480/pilar.v13i1.12
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