In this paper, we propose to select hidden layer neurons based on multiple granularities immune network. Firstly a multiple granularities immune network (MGIN) ...
In this paper, we propose to select hidden layer neurons based on multiple granularities immune network. Firstly a multiple granularities immune network (MGIN) ...
May 28, 2006 · In this paper, we propose to select hidden layer neurons based on multiple granularities immune network. Firstly a multiple granularities immune ...
Bibliographic details on Neuron Selection for RBF Neural Network Classifier Based on Multiple Granularities Immune Network.
This paper proposes to select hidden layer neurons based on data structure preserving criterion by preserving the data structure of samples including those ...
In this paper, we propose a method to select hidden layer neurons based on multiple granularities immune network, and then, training a cosine RBF neural network ...
Missing: Classifier | Show results with:Classifier
In this paper, we propose a new method to design classifier based on multiple granularities immune network. Firstly a multiple granularities immune network ( ...
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In this paper, we propose to select hidden layer neurons based on multiple granularities immune network. Firstly a multiple granularities immune network (MGIN) ...
NNIA solves multi-objective optimization problems by using a nondominated neighbor-based selection technique, an immune inspired operator, two heuristic search ...
IDS based on Adaptive RBF neural network. [11]. Authors had implemented a new method such as multiple granularities immune network (MGIN) to design a ...