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Browse Conference Publications > Circuits and Systems, 1994. IS ... Volume 6

Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on

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Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on

Date 30 May-2 Jun 1994

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Title History

Extraction of depth information by cellular neural networks

A conceptual associative memory with full memory capacity and ability to associate arbitrary patterns

Neural networks for optimization problems in graph theory

A multilayer feedforward neural network model for digital hardware implementation

Handwritten numeral recognition with multiple features and multistage classifiers

Arabic text recognition using neural networks

Searching over DOA parameter space via neural networks

A radical-partitioned neural network system using a modified sigmoid function and a weight-dotted radical selector for large-volume Chinese character recognition VLSI

An image binarization and reconstruction with resistive network

Behavioral testing of cellular neural networks

Dynamic characteristics of a digital transducer

Multi-parameter homotopy methods for finding periodic solutions of nonlinear circuits

Algorithms for the automatic design of the decomposed state model of an one-dimensional piecewise-linear system

A two stage neural network DC fault dictionary

PNS modules for the synthesis of parallel self-organizing hierarchical neural networks

Adaptive RBF neural network in signal detection

Nonlinear dynamics of chaotic double-loop sigma-delta modulation

Sensitivity analysis for minimization of input data dimension for feedforward neural network

Search of optimal solutions in multi-level neural networks

The back propagation method for CNN

Closed-loop input impedance of PWM buck-derived DC-DC converters

Chaotic signals generated by digital filter overflow

Shortest path searching for robot walking using an analog resistive network

Optimization of distributed parameter systems with a combined statistical-deterministic method

Subthreshold analog circuit for computing the maximal principal component of 3-D data

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