Now showing items 1-10 of 1006
Radial basis function networks with quantized parameters
A RBFN implemented with quantized parameters is proposed and the relative or limited approximation property is presented. Simulation results for sinusoidal function approximation with various quantization levels are shown. ...
An analog implementation of radial basis neural networks (RBNN) using BiCMOS technology
This paper describes a analog implementation of radial basis neural networks (RBNN) in BiCMOS technology. The RBNN uses a gaussian function obtained through the characteristic of the bipolar differential pair. The gaussian ...
RBF circuits based on folded cascode differential pairs
We propose new circuits for the implementation of Radial Basis Functions such as Gaussian and Gaussian-like functions. These RBFs are obtained by the subtraction of two differential pair output currents in a folded cascode ...
Integrated planning of electric power distribution networks
In this work, a heuristic model for integrated planning of primary distribution network and secondary distribution circuits is proposed. A Tabu Search (TS) algorithm is employed to solve the planning of primary distribution ...
Determination and statistical treatment of short-circuit currents for faults on the lines of networks of 440 kV CESP system
The distribution of short-circuit current is investigated by means of two methods, one direct and the other analytic; both methods consider uniform probability distribution of line faults. In the direct method, the procedure ...
Radial basis function network applied to the linearization of a voltage controlled oscillator
An analog circuit that implements a radial basis function network is presented. The proposed circuit allows the adjustment of all shape parameters of the radial functions, i.e., amplitude, center and width. The implemented ...