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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2011 Vol.3(3): 444-447 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2011.V3.347

A Time-Delayed Neural Network Model for Neutron TOF Spectrum Measurements

M. I. Khalil
Abstract—A novel approach for performing the reverse time of flight (RTOF) analysis of the diffraction spectra through the use of time-delayed neural network (TDNN) is introduced. The new design applies a data acquisition system, a special interface card and software program installed in a PC computer, to perform the cross-correlation functions between signals received from the chopper-decoder and detector devices. This paper focuses on theoretical analysis of the neural network architecture to be embedded in the data acquisition system. The implementation of the suggested TDNN along with the experimental measurements will be deferred to a subsequent paper.

Index Terms—Reverse time of flight, data acquisition, time-delayed neural networks, cross-correlation.

M. I. Khalil. Egyptian Atomic Energy Authority, Nuclear Research Center: Phone: 966-564680744; (e-mail: magdi_nrc@ hotmail.com).

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Cite: M. I. Khalil, "A Time-Delayed Neural Network Model for Neutron TOF Spectrum Measurements," International Journal of Computer Theory and Engineering vol. 3, no. 3, pp. 444-447, 2011.
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