Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: It has been shown that a neural network is better than a direct application of induction trees in modeling complex relations of input attributes in sample data.  propose that concise rules be extracted to support data with input variable relations over continuous-valued attributes. Those relations as a set of linear classifiers can be obtained from neural network modeling based on back-propagation. A linear classifier is derived from a linear combination of input attributes and neuron ights in the first hidden layer of neural networks. It is shown in this paper that when  use a decision tree over linear classifiers extracted from a multilayer perceptron, the number of rules can be reduced.  have tested this method over several data sets to compare it with decision tree results.
['DaeEun Kim', 'Sea Woo Kim']
I am writing a research paper on a idea Decision Tree Rule Reduction Using Linear Classifiers in Multilayer Perceptron
[{"from": "human", "value": "I am writing a research paper on a idea Decision Tree Rule Reduction Using Linear Classifiers in Multilayer Perceptron"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: It has been shown that a neural network is better than a direct application of induction trees in modeling complex relations of input attributes in sample data.  propose that concise rules be extracted to support data with input variable relations over continuous-valued attributes. Those relations as a set of linear classifiers can be obtained from neural network modeling based on back-propagation. A linear classifier is derived from a linear combination of input attributes and neuron ights in the first hidden layer of neural networks. It is shown in this paper that when  use a decision tree over linear classifiers extracted from a multilayer perceptron, the number of rules can be reduced.  have tested this method over several data sets to compare it with decision tree results."}]