Biological systems process the analog signals like image and sound efficiently. To process
the information the way biological systems do, we make use of Artificial Neural Networks …

In this paper we present the analog CMOS architecture of a Multi Layer Perceptron network
with on-chip stochastic Back Propagation learning. The learning algorithm is based on a …

In this paper the author presents an analog VLSI circuit to implement the synapse operation
in artificial neural network systems. This circuit is a two-quadrant (or four-quadrant) analog …

Nature has evolved highly advanced systems capable of performing complex computations,
adoption and learning using analog computations. Furthermore nature has evolved …

In this paper, a new implementation of CMOS four-quadrant analogue synapse multiplier
circuit for analogue signal processing will be proposed. Especially, it can be used for multi …

The author presents a fabricated analog VLSI circuit that can be used as a four-quadrant
analog multiplier with high linearity on both terms of multiplication and wide range on one of …

In this paper, a new implementation of Four-Quadrant CMOS Analog Multiplier Circuit for
feed forward neural networks multi layer perceptron operation will be proposed. The …

In this paper, a four quadrant VLSI analog multiplier will be proposed, in order to be used in
the implementation of the neurons and synapses modules of the artificial neural networks …

In this paper we present the analog architecture and the implementation of an on-chip
learning Multi Layer Perceptron network. The learning algorithm is based on Back …

In this paper, Analog VLSI CMOS circuits that implements different mathematical functions,
equations, or relations such as “Addition, Subtraction, Multiplier, Quadratic, Square Root …