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Vol. 121, Issue 10, October 2010, pp.10-17



Design of Artificial Neural Network-Based pH Estimator


Shebel A. Alsabbah, Maazouz A. Salahat and Mohammad K. Abuzalata

Mechatronics Engineering Division, Faculty of Engineering Technology,

Al-Balqa Applied University, P.O. Box 15008, Amman (11134), Jordan

Tel.: +962777745553, +962 6 4790333

E-mail: shebel_asad@hotmail.com and dsalahat@yahoo.com



Received: 11 July 2010   /Accepted: 18 October 2010   /Published: 26 October 2010


Abstract: Taking into consideration the cost, size and drawbacks might be found with real hardware instrument for measuring pH values such that the complications of the wiring, installing, calibrating and troubleshooting the system, would make a person look for a cheaper, accurate, and alternative choice to perform the measuring operation, Where’s hereby, a feedforward artificial neural network-based pH estimator has to be proposed. The proposed estimator has been designed with multi- layer perceptrons. One input which is a measured base stream and two outputs represent pH values at strong base and strong/weak acids for a titration process. The created data base has been obtained with consideration of temperature variation. The final numerical results ensure the effectiveness and robustness of the design neural network-based pH estimator.


Keywords: pH electrode, Titration process, Neural network and Training algorithm


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