Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
Article Fingerprint
ReserarchID
AJNZ2
This paper presents the work regarding the implementation of neural network using radial basis function algorithm on very high speed integrated circuit hardware description language (VHDL). It is a digital implementation of neural network. Neural Network hardware has undergone rapid development during the last decade. Unlike the conventional von-Neumann architecture that is sequential in nature, Artificial Neural Networks (ANNs) Profit from massively parallel processing. A large variety of hardware has been designed to exploit the inherent parallelism of the neural network models. The radial basis function (RBF) network is a two-layer network whose output units form a linear combination of the basis function computed by the hidden unit & hidden unit function is a Gaussian. The radial basis function has a maximum of 1 when its input is 0. As the distance between weight vector and input decreases, the output increases. Thus, a radial basis neuron acts as a detector that produces 1 whenever the input is identical to its weight vector.
dr._richa_kapoor. 1970. \u201cImplementation of a Radial Basis Function Using VHDL\u201d. Unknown Journal GJCST Volume 10 (GJCST Volume 10 Issue 10): .
Article file ID not found.
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
A Comparative Study of the Effeect of Promotion on Employee
The Problem Managing Bicycling Mobility in Latin American Cities: Ciclovias
Impact of Capillarity-Induced Rising Damp on the Energy Performance of
This paper presents the work regarding the implementation of neural network using radial basis function algorithm on very high speed integrated circuit hardware description language (VHDL). It is a digital implementation of neural network. Neural Network hardware has undergone rapid development during the last decade. Unlike the conventional von-Neumann architecture that is sequential in nature, Artificial Neural Networks (ANNs) Profit from massively parallel processing. A large variety of hardware has been designed to exploit the inherent parallelism of the neural network models. The radial basis function (RBF) network is a two-layer network whose output units form a linear combination of the basis function computed by the hidden unit & hidden unit function is a Gaussian. The radial basis function has a maximum of 1 when its input is 0. As the distance between weight vector and input decreases, the output increases. Thus, a radial basis neuron acts as a detector that produces 1 whenever the input is identical to its weight vector.
We are currently updating this article page for a better experience.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
