Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Radial basis function networks (RBFNs) have shown their capability to be used in classification problems, so that many data mining algorithms have been developed to configure RBFNs. These algorithms need to be given a suitable set of parameters for every problem they face, thus methods to automatically search the values of these parameters are required.  shows the robustness of a meta-algorithm developed to automatically establish the parameters needed to design RBFNs. Results show that this new method can be effectively used, not only to obtain good models, but also to find a stable set of parameters, available to be used on many different problems.
['Elisabet Parras-Gutierrez', 'M. J. Jesus', 'V. M. Rivas', 'J. J. Merelo']
I am writing a research paper on a idea Study of the Robustness of a Meta-Algorithm for the Estimation of Parameters in Artificial Neural Networks Design
[{"from": "human", "value": "I am writing a research paper on a idea Study of the Robustness of a Meta-Algorithm for the Estimation of Parameters in Artificial Neural Networks Design"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Radial basis function networks (RBFNs) have shown their capability to be used in classification problems, so that many data mining algorithms have been developed to configure RBFNs. These algorithms need to be given a suitable set of parameters for every problem they face, thus methods to automatically search the values of these parameters are required.  shows the robustness of a meta-algorithm developed to automatically establish the parameters needed to design RBFNs. Results show that this new method can be effectively used, not only to obtain good models, but also to find a stable set of parameters, available to be used on many different problems."}]