Abdullah Shwehneh

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A CMOS Gaussian/Triangular Basis functions computation circuit suitable for analog neural networks is proposed. The circuit can be configured to realize any of the two functions. The circuit can approximate these functions with relative root-mean-square error less than 1%. It is shown that the center, width, and peak amplitude of the dc transfer(More)
A CMOS Satlin/Sigmoid/Gaussian/Triangular Basis functions computation circuit suitable for analog neural networks is proposed. The circuit can be configured to realize any of the four functions. The circuit can approximate these functions with relative root-mean-square error less than 1%. It is shown that the center, width, and peak amplitude of the dc(More)
ii iii To my Family … iv ACKNOWLEDGMENT All praise and glory is to almighty Allah who gave me the courage and patience to carry out this work, and peace and blessings of Allah be upon his last prophet Muhammad. Acknowledgement is due to King Fahd University of Petroleum and Minerals for supporting this research. I am grateful to the electrical engineering(More)
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