A Beta basis function neural network in CMOS subthreshold mode |
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Authors: | Mounir Samet Samet Mohamed Masmoudi Adel M Alimi |
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Affiliation: | 1. Department of Electronics and Telecommunication Engineering , Bengal Engineering and Science University , Shibpur, Howrah-711103, India arkapv@yahoo.com;3. Department of Electronics and Telecommunication Engineering , Bengal Engineering and Science University , Shibpur, Howrah-711103, India |
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Abstract: | Beta basis function neural networks (BBFNNs) are powerful systems for learning and universal approximation. In this paper, we present a hardware implementation of the Beta neuron using the CMOS subthreshold mode. We describe the low power–low voltage analogue Beta neuron circuit. Three main modules are used to realize the electronic Beta function: a logarithmic currentto-voltage converter, a multiplier and an exponential voltage-to-current converter. Simulation results show the validity of our neural hardware implementation. The parameters of the electronic Beta function are controlled independently by current sources. This analogue implementation could be used easily to realize analogue BBFNNs. |
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Keywords: | Microstrip filter PBG Split-ring Compact filter |
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