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Mostrando ítems 1-10 de 18
Ponencia
Analog neural networks for real-time constrained optimization
(Institute of Electrical and Electronics Engineers, 1990)
Architectures and circuit techniques for implementing general piecewise constrained optimization problems using VLSI techniques are explored. Discrete-time analog techniques are considered due to their inherent accuracy, ...
Artículo
On the Design of Voltage-Controlled Sinusoidal Oscillators Using OTA's
(Institute of Electrical and Electronics Engineers, 1990)
A unified systematic approach to the design of voltage-controlled oscillators using only operational transconductance amplifiers (OTA's) and capacitors is discussed in this paper. Two classical oscillator models, i.e., ...
Ponencia
Architectures and building blocks for CMOS VLSI analog "neural" programmable optimizers
(Institute of Electrical and Electronics Engineers, 1992)
A modular reconfigurable serial architecture is presented for the analog/digital implementation of constrained optimization algorithms with digital programmability of the problem weights. Area overhead due to programmability ...
Ponencia
Hysteresis based neural oscillators for VLSI implementations
(Institute of Electrical and Electronics Engineers, 1991)
The actual tendency in most of the work that is being done in VLSI neural network research is to use the simplest possible models to perform the desired tasks. This yields to the use of sigmoidal type neurons that have ...
Artículo
Analog Neural Programmable Optimizers in CMOS VLSI Technologies
(Institute of Electrical and Electronics Engineers, 1992)
A 3-μm CMOS IC is presented demonstrating the concept of an analog neural system for constrained optimization. A serial time-multiplexed general-purpose architecture is introduced for the real-time solution of this kind ...
Ponencia
CMOS analog neural network systems based on oscillatory neurons
(Institute of Electrical and Electronics Engineers, 1992)
This paper addresses the design of two neural network systems based on the use of pulsing neurons. Each neuron is built as a simple voltage controlled oscillator (VCO) whose control voltage makes the circuit to oscillate ...
Ponencia
Modular analog continuous-time VLSI neural networks with on chip hebbian learning and analog storage
(Institute of Electrical and Electronics Engineers, 1992)
A modular analog circuit design approach for hardware implementations of neural networks is presented. This approach is based on the use of small transconductance multipliers as the main component, and is therefore called ...
Ponencia
A piecewise-linear function approximation using current mode circuits
(Institute of Electrical and Electronics Engineers, 1992)
A methodology to design currentmode circuits for piecewise-linear function approximation is presented. The technique is based on the utilization of current mirrors as basic building blocks. The resulting circuits are very ...
Ponencia
A basic building block approach to CMOS design of analog neuro/fuzzy systems
(Institute of Electrical and Electronics Engineers, 1994)
Outlines a systematic approach to design fuzzy inference systems using analog integrated circuits in standard CMOS VLSI technologies. The proposed circuit building blocks are arranged in a layered neuro/fuzzy architecture ...
Artículo
A modular T-mode design approach for analog neural network hardware implementations
(Institute of Electrical and Electronics Engineers, 1992)
A modular transconductance-mode (T-mode) design approach is presented for analog hardware implementations of neural networks. This design approach is used to build a modular bidirectional associative memory network. The ...