Add to ORKGThe above paper claims that under a set of minor restrictions radial basis function networks and fuzzy inference systems are functionally equivalent. The purpose of this letter is to show that this set of restrictions is incomplete and that, when it is completed, the said functional equivalence applies only to a small range of fuzzy inference systems. In addition, a modified set of restrictions is proposed which is applicable for a much wider range of fuzzy inference systems
This paper examines the underlying relationship between radial basis function artificial neural netw...
The function approximation problem has been tackled many times in the literature by using Radial Bas...
In the above mentioned paper, Wei and Fahn proposed a neural architecture, the multisynapse neural n...
The above paper claims that under a set of minor restrictions radial basis function networks and fuz...
The above paper claims that under a set of minor restrictions radial basis function networks and fuz...
[[abstract]]It is shown that, under some minor restrictions, the functional behavior of radial basis...
We establish the functional equivalence of a generalized class of Gaussian radial basis function (RB...
We establish the functional equivalence of a generalized class of Gaussian radial basis function (RB...
The conditions under which spline-based networks are functionally equivalent to the Takagi-Sugeno mo...
Radial basis function networks and fuzzy rule systems are functionally equivalent under some mild co...
We address the dimensionality problem in the training of basis function networks of various types. S...
: We compare a prototype-based classier implemented as a radial-basis function (RBF) network with a ...
In this work, we show that fuzzy inference systems based on Fuzzy Relational Inference (FRI) with im...
This comment points out some relevant information regarding the treatment and minimization of fuzzy ...
This paper examines the underlying relationship between radial basis function artificial neural netw...
This paper examines the underlying relationship between radial basis function artificial neural netw...
The function approximation problem has been tackled many times in the literature by using Radial Bas...
In the above mentioned paper, Wei and Fahn proposed a neural architecture, the multisynapse neural n...
The above paper claims that under a set of minor restrictions radial basis function networks and fuz...
The above paper claims that under a set of minor restrictions radial basis function networks and fuz...
[[abstract]]It is shown that, under some minor restrictions, the functional behavior of radial basis...
We establish the functional equivalence of a generalized class of Gaussian radial basis function (RB...
We establish the functional equivalence of a generalized class of Gaussian radial basis function (RB...
The conditions under which spline-based networks are functionally equivalent to the Takagi-Sugeno mo...
Radial basis function networks and fuzzy rule systems are functionally equivalent under some mild co...
We address the dimensionality problem in the training of basis function networks of various types. S...
: We compare a prototype-based classier implemented as a radial-basis function (RBF) network with a ...
In this work, we show that fuzzy inference systems based on Fuzzy Relational Inference (FRI) with im...
This comment points out some relevant information regarding the treatment and minimization of fuzzy ...
This paper examines the underlying relationship between radial basis function artificial neural netw...
This paper examines the underlying relationship between radial basis function artificial neural netw...
The function approximation problem has been tackled many times in the literature by using Radial Bas...
In the above mentioned paper, Wei and Fahn proposed a neural architecture, the multisynapse neural n...