Comparison of Fuzzy Logic and NEURO Fuzzy Algorithms for Load Sensor
Monika1, Amrit Kaur2
1Monika, University College of Engineering, Punjabi University, Patiala, India.
2Amrit Kaur, University College of Engineering, Punjabi University, Patiala, India.
Manuscript received on April 07, 2013. | Revised Manuscript received on April 28, 2013. | Manuscript published on May 05, 2013. | PP: 219-222 | Volume-3, Issue-2, May 2013. | Retrieval Number: B1506053213/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Load sensor is developed using fuzzy logic as well as neuro-fuzzy method. It is two inputs and one output sensor. Both fuzzy logic and neuro-fuzzy algorithms are simulated using MATLAB fuzzy logic toolbox. This paper outlines the basic difference between the results of fuzzy logic and neuro-fuzzy algorithms and provides the better algorithm for load sensor
Keywords: Fuzzy logic, load sensor, neuro-fuzzy, optical fiber, rule base.