IEEE International Conference on Neural Networks - Conference Proceedings1833-1839ICNN
A common problem in KDD (Knowledge Discovery in Databases) is the presence of noise in the data bein...
Hammer B, Strickert M, Villmann T. Rule Extraction from Self-Organizing Networks. In: Dorronsoro JR,...
We propose a genetic algorithm that evolves families of rules from a set of examples. Inputs and out...
Search methods for rule extraction from neural networks work by finding those combinations of inputs...
Proceedings of the International Joint Conference on Neural Networks64095-409885OF
Jin Y, Sendhoff B, Körner E. Rule Extraction from Compact Pareto-optimal Neural Networks. In: Ghosh ...
Given paper is a review on existing decompositional rules extraction methods from artificial neural ...
Knowledge acquisition is, needless to say, important, because it is a key to the solution to one of ...
Contrary to the common opinion, neural networks may be used for knowledge extraction. Recently, a ne...
Abstract. The paper presents a method of rule extraction from a trained neural network by means of a...
Abstract. neural networks solving approximation problem. It is based on two hierarchical evolu-tiona...
Classification and Rule extraction is an important application of Artificial Neural Network. To extr...
The paper presents a method of rule extraction from the trained neural network by means of a genetic...
In this paper, we present a recursive algorithm for extracting classification rules from feedforward...
Abstract This paper deals with the use of neural network rule extraction techniques based on the Ge-...
A common problem in KDD (Knowledge Discovery in Databases) is the presence of noise in the data bein...
Hammer B, Strickert M, Villmann T. Rule Extraction from Self-Organizing Networks. In: Dorronsoro JR,...
We propose a genetic algorithm that evolves families of rules from a set of examples. Inputs and out...
Search methods for rule extraction from neural networks work by finding those combinations of inputs...
Proceedings of the International Joint Conference on Neural Networks64095-409885OF
Jin Y, Sendhoff B, Körner E. Rule Extraction from Compact Pareto-optimal Neural Networks. In: Ghosh ...
Given paper is a review on existing decompositional rules extraction methods from artificial neural ...
Knowledge acquisition is, needless to say, important, because it is a key to the solution to one of ...
Contrary to the common opinion, neural networks may be used for knowledge extraction. Recently, a ne...
Abstract. The paper presents a method of rule extraction from a trained neural network by means of a...
Abstract. neural networks solving approximation problem. It is based on two hierarchical evolu-tiona...
Classification and Rule extraction is an important application of Artificial Neural Network. To extr...
The paper presents a method of rule extraction from the trained neural network by means of a genetic...
In this paper, we present a recursive algorithm for extracting classification rules from feedforward...
Abstract This paper deals with the use of neural network rule extraction techniques based on the Ge-...
A common problem in KDD (Knowledge Discovery in Databases) is the presence of noise in the data bein...
Hammer B, Strickert M, Villmann T. Rule Extraction from Self-Organizing Networks. In: Dorronsoro JR,...
We propose a genetic algorithm that evolves families of rules from a set of examples. Inputs and out...
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