This paper presents modeling and simulation for a new VLSI –Artificial Neural Network (ANN) analog circuit designed in 0.34 μm CMOS technology. Differential voltage controlled current source (DVCCS) is used for making synaptic weights and activation functions and capacitors are used for dynamics . Multi output bidirectional neuron current mirror is achieved using super MOSFET which behaves as a single MOS transistor but with nearly zero channel modulation factor λ and intrinsic gain of more than 90 dB. Verification of successful operation of all circuit components were done using HSPICE program. Transfer characteristic of DVCCS with a given bias current which can be seen to have a trance conductance of about 160 μ S with band width reaches 400MHz.
ALAZAB, M. (2007). MODELING AND SIMULATION OF A NEW VLSI ANALOG CIRCUIT FOR ARTIFICIAL NEURAL NETWORKS APPLICATIONS. International Conference on Aerospace Sciences and Aviation Technology, 12(ASAT Conference, 29-31 May 2007), 1-10. doi: 10.21608/asat.2007.23969
MLA
MOHAMED ALAZAB. "MODELING AND SIMULATION OF A NEW VLSI ANALOG CIRCUIT FOR ARTIFICIAL NEURAL NETWORKS APPLICATIONS", International Conference on Aerospace Sciences and Aviation Technology, 12, ASAT Conference, 29-31 May 2007, 2007, 1-10. doi: 10.21608/asat.2007.23969
HARVARD
ALAZAB, M. (2007). 'MODELING AND SIMULATION OF A NEW VLSI ANALOG CIRCUIT FOR ARTIFICIAL NEURAL NETWORKS APPLICATIONS', International Conference on Aerospace Sciences and Aviation Technology, 12(ASAT Conference, 29-31 May 2007), pp. 1-10. doi: 10.21608/asat.2007.23969
VANCOUVER
ALAZAB, M. MODELING AND SIMULATION OF A NEW VLSI ANALOG CIRCUIT FOR ARTIFICIAL NEURAL NETWORKS APPLICATIONS. International Conference on Aerospace Sciences and Aviation Technology, 2007; 12(ASAT Conference, 29-31 May 2007): 1-10. doi: 10.21608/asat.2007.23969
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