An Analog-Digital Merged Neural Circuit Using Pulse Width Modulation Technique
نویسندگان
چکیده
This paper presents a neural circuit using PWM technique based on an analog-digital merged circuit architecture. Some new PWM circuit techniques are proposed. A bipolarweighted summation circuit is described which attains 8-bit precision in SPICE simulation at 5V supply voltage by compensating parasitic capacitance effects. A high performance differentialtype latch comparator which can discriminate 1mV difference at 100MHz in SPICE simulation is also described. Next, we present a prototype chip fabricated using a 0.6μm CMOS process. The measurement results demonstrate that the overall precision in the weighted summation and the sigmoidal transformation is 5 bits. A neural network has been constructed using the prototype chips, and the experimental results for realizing the XOR function have successfully verified the basic neural operation. key words: LSI implementation, neural networks, pulse-width modulation, PWM
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