IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4
Circuit Realization of a Programmable Neuron Transfer Function and Its Derivative
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
In on-chip back-propagation learning neural networks, both a sigmoidal transfer function and its derivative are required. A simple CMOS analog neuron circuit that can realize both functions is proposed. The neuron is widely applicable because of its programmability. Based on this novel neuron a two-layer feedforward Artificial Neural Network (ANN) is designed. HSPICE simulation results have proved its ability to solve the XOR problem.
Index Terms:
Artificial Neural Networks (ANN), CMOS analogue integrated circuits
Citation:
Chun Lu, Bingxue Shi, "Circuit Realization of a Programmable Neuron Transfer Function and Its Derivative," ijcnn, vol. 4, pp.4047, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000