Advantages of low-gain Hopfield neurons

Dempsey, G.L.; Comisky, D.A.; Drake, José M.; Waldschmidt, M.A.

doi:10.1109/mwscas.1994.519289

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A/d Converter With Low-gain Neurons1

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“…3, which indicates approximately equal step widths. The improvements are due to the development of a modified Hopfield neuron, which allowed a gain reduction from 160 to 16 [6,7]. Figure 4 shows a block diagram of the modified neuron.…”

Section: A/d Converter With Low-gain Neuronsmentioning

confidence: 99%

A neural analog-to-digital converter with resolution enhancement

Comisky

Drake

Dempsey

Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers

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A neural-based analog-todigital (AD) converter was first proposed by Tank and Hopfield in 1986. Hopfield applications have typically used high-gain amplifiers for the neurom. Unfortunately, this led to missing output codes and unequal step widths in the A D converter application. n e new approach proposed here use lowgain analog amplifiers for the arti!cial neurons. This allows additional bits of information to be extracted from the A D converter output. In this paper, we discuss the hardware implementation of our resolution enhancement method applied to a four-bit neural A D converter. R e method yielded an increase in resolution from 4 to 8 bits.

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Section: A/d Converter With Low-gain Neuronsmentioning

confidence: 99%