Browsing by Author "Dündar, Günhan"
Now showing items 1-3 of 3
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Fault-tolerant training of neural networks in the presence of MOS transistor mismatches
Authors:
Publisher and Date:(IEEE-INST Electrical Electronics Engineers Inc, 2001)Analog techniques are desirable for hardware implementation of neural networks due to their numerous advantages such as small size low power and high speed. However these advantages are often offset by the difficulty in the training of analog neural network circuitry. In particular training of the circuitry by software based on hardware models is impaired by statistical variations in the integrated circuit production process resulting in performance degradation. In this paper a new paradigm of ...
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Parameter quantization effects in Gaussian potential function neural networks
Authors:
Publisher and Date:(World Scientific and Engineering Academy and Society, 2001)In hardware implementations of Gaussian Potential Function Neural Networks (GPFNN) deviation from ideal network parameters is inevitable because of the techniques used for parameter storage and implementation of the functions electronically resulting in loss of accuracy. This loss in accuracy can be represented by quantization of the network parameters. In order to predict this effect theoretical approaches are proposed. One-input one-output GPFNN with one hidden layer have been trained as function ...
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VLSI implementation of GRBF (Gaussian Radial Basis Function) networks
Authors:
Publisher and Date:(IEEE, 2000)A GRBF network is designed for VLSI implementation. Building blocks of the network consist mainly of analog circuits: op-amp multiplier multiplying DAC (digital to analog converter) floating resistor summer and exponentiator. Parameters of the network (center width of the Gaussian function and output layer weights) are represented digitally for convenient interfacing. It is shown that individual GRBF units allow independent tuning of center width and amplitude. Several network structures are ...
