pH Measurements of a Bioreactor Containing Phenoluride Detector Using Image Processing and Neural Networks RBF and ANFIS

Document Type : Research Article

Authors

1 Faculty of New Science and Technology,, University of Tehran, Tehran, I.R. IRAN

2 Faculty of New Science and Technology, University of Tehran, Tehran, I.R. IRAN

Abstract

In this article measure pH is intended in the culture solution and designed embedded system automatically and without human intervention be able to instantly measure the pH and help to control the pH at a higher speed. For this reason, using the camera and color processing solution and artificial neural network algorithms and algorithms can be implemented on a processor.The network was instructed by experimental solution data. The network layers of RBF are three and inputs in three categories of RGB is sent to the network and accordance with a standard solution, RBF error in training error reached 0.35 and test error reached 0.1 and in ANFIS network training error is less than 0.06 and test error reached to 0.01 then ANFIS is more accurate than RBF network. This percentage of errors obtained with 37 different solutions and this error can be reduced by increasing its number

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References

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