Worker Productivity: A Fuzzy Supervised Neural Training Algorithm Approach

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Okpor .M. D
Okpor .M. D

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Productivity refers to the physical relation between the quality produced (output) and the quantity of resource used in the course of production (input). Productivity is a relative term indicating the ratio between total output and the total inputs used therein on the other hand production is an absolute concept, which refers to the volume of output. Fuzzy Supervised Neural Network Training Algorithm has been designed and implemented with Matrix Laboratory (MATLAB) and Hypertext Preprocessor as the simulation language. This paper demonstrates the practical application of soft computing algorithm techniques in various well-meaning organizations.

7 Cites in Articles

References

  1. H Ahmad (2011). Fuzzy Approach to Likert Spectrum in Classified levels in Surveying Researches.
  2. Lynne Andersson (1996). Employee Cynicism: An Examination Using a Contract Violation Framework.
  3. C Angel,R Rocio (2011). Documentation Management with Ant Colony Optimization Meta-18.
  4. F Robert (2000). Introduction to Neuro-Fuzzy Systems: Advances in Soft Computing Serie.
  5. C Sun,J Jang (1993). A Neuro-Fuzzy Classifier and its applications.
  6. F Susan (2009). International Comparisons Of Hours Worked: An Assessment Of The Statistics.
  7. L Zadeh (1965). Fuzzy sets.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Okpor .M. D. 2014. \u201cWorker Productivity: A Fuzzy Supervised Neural Training Algorithm Approach\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 14 (GJCST Volume 14 Issue G3): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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October 15, 2014

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English

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Productivity refers to the physical relation between the quality produced (output) and the quantity of resource used in the course of production (input). Productivity is a relative term indicating the ratio between total output and the total inputs used therein on the other hand production is an absolute concept, which refers to the volume of output. Fuzzy Supervised Neural Network Training Algorithm has been designed and implemented with Matrix Laboratory (MATLAB) and Hypertext Preprocessor as the simulation language. This paper demonstrates the practical application of soft computing algorithm techniques in various well-meaning organizations.

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Worker Productivity: A Fuzzy Supervised Neural Training Algorithm Approach

Okpor .M. D
Okpor .M. D

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