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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3
CMOS PWM VLSI Implementation of Neural Network
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
Lu Chen, Tsinghua University
Bingxue Shi, Tsinghua University
Neural network's VLSI implementation based on Pulse Width Modulation technique is analyzed. A simple synapse multiplier is proposed, which has high precision and large linearity range. A voltage-mode sigmoid circuit with adjustable gain is analyzed, which is used for neuron activation functions. A voltage-pulse conversion circuit required for PWM is suggested, which has high conversion precision and linearity. Based on the above circuits, a PWM VLSI neural network to solve XOR problem is designed. The simulation result shows its correct function and fast speed, it is suitable for VLSI implementation of neural network.
Index Terms:
Neural Network, VLSI, Pulse Width Modulation
Citation:
Lu Chen, Bingxue Shi, "CMOS PWM VLSI Implementation of Neural Network," ijcnn, vol. 3, pp.3485, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3, 2000
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