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A radial basis function network (RBFN) for function approximation
(IEEE, 1999-01-01)
A radial basis function network (RBFN) circuit for function approximation is presented. Simulation and experimental results show that the network has good approximation capabilities. The RBFN was a squared hyperbolic secant ...
Comparative study between powers of sigmoid functions, MLP-backpropagation and polynomials in function approximation problems
(Spie - Int Soc Optical Engineering, 1999-01-01)
Function approximation is a very important task in environments where the computation has to be based on extracting information from data samples in real world processes. So, the development of new mathematical model is a ...
Function approximation by polynomial wavelets generated from powers of sigmoids
(Spie - Int Soc Optical Engineering, 1996-01-01)
Mathematical tests about the existence and applications of PPS-wavelets in function approximation problems
(Spie - Int Soc Optical Engineering, 1998-01-01)
Neural networks and wavelet transform have been recently seen as attractive tools for developing eficient solutions for many real world problems in function approximation. Function approximation is a very important task ...
Radial basis function networks with quantized parameters
(2008-09-30)
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. ...
Comparative study between RBF and radial-PPS neural networks
(Spie - Int Soc Optical Engineering, 1998-01-01)
The study of function approximation is motivated by the human limitation and inability to register and manipulate with exact precision the behavior variations of the physical nature of a phenomenon. These variations are ...
Activation function study for wavelet network
(1997-12-01)
The main purpose of this paper is to investigate theoretically and experimentally the use of family of Polynomial Powers of the Sigmoid (PPS) Function Networks applied in speech signal representation and function approximation. ...
Multidimensional polynomial powers of sigmoid (PPS) Wavelet neural networks
(Insticc-inst Syst Technologies Information Control & Communication, 2008-01-01)
Wavelet functions have been used as the activation function in feedforward neural networks. An abundance of R&D has been produced on wavelet neural network area. Some successful algorithms and applications in wavelet neural ...
Multidimensional Polynomial Powers of Sigmoid (PPS) wavelet neural networks
(2008-11-13)
Wavelet functions have been used as the activation function in feedforward neural networks. An abundance of R&D has been produced on wavelet neural network area. Some successful algorithms and applications in wavelet neural ...
An analog implementation of radial basis function network appropriate for transducer linearizer
(IEEE, 1999-01-01)
A circuit for transducer linearizer tasks have been designed and built using discrete components and it implements by: a Radial Basis Function Network (RBFN) with three basis functions. The application in a linearized ...