Enhancement of CHEMFET sensor selectivity based on backpropagation algorithm

Aziz, Nurhakimah Abd; Abdullah, Wan Fazlida Hanim; Tahir, Nooritawati Md; Adenan, Muhammad Nasrul Hakim B.; Jamil, Wan Adil Wan

doi:10.1109/icsengt.2013.6650175

Cited by 3 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The generated data from the CHEMFET sensor has been trained by backpropagation algorithm [5]. Backpropagation algorithm is widely used to train multi-layer perceptron (MLP).…”

Section: A Neural Network Implementationmentioning

confidence: 99%

Hardware implementation of backpropagation algorithm based on CHEMFET sensor selectivity

Aziz

Latif

Abdullah

et al. 2013

2013 IEEE International Conference on Control System, Computing and Engineering

Self Cite

View full text Add to dashboard Cite

In this study, modeling approach for interpretation of data logged from chemically field-effect transistor (CHEMFET) sensor is described. Firstly, backpropagation algorithm is used to train the proposed network by optimizing the parameters of the network. Then, by applying the optimized parameters obtained from the trained network, the feed forward neural network algorithm is implemented using C language for compatibility with 16-bit microcontroller board and the output is compared with the simulation output which has been simulated using MATLAB software. Initial findings showed that the neural the proposed method is able to provide excellence estimation of main ion concentration in mixed solution as well as capable to interpret and estimate the ion concentration in mixed solution. Index Terms-CHEMFET sensor, backpropagation algorithm, 16bit microcontroller board

show abstract

“…The generated data from the CHEMFET sensor has been trained by backpropagation algorithm [5]. Backpropagation algorithm is widely used to train multi-layer perceptron (MLP).…”

Section: A Neural Network Implementationmentioning

confidence: 99%