Journal ArticleDOI
Entropy nets: from decision trees to neural networks
Ishwar K. Sethi
- Vol. 78, Iss: 10, pp 1605-1613
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TLDR
How the mapping of decision trees into a multilayer neural network structure can be exploited for the systematic design of a class of layered neural networks, called entropy nets (which have far fewer connections), is shown.Abstract:
How the mapping of decision trees into a multilayer neural network structure can be exploited for the systematic design of a class of layered neural networks, called entropy nets (which have far fewer connections), is shown. Several important issues such as the automatic tree generation, incorporation of the incremental learning, and the generalization of knowledge acquired during the tree design phase are discussed. A two-step methodology for designing entropy networks is presented. The methodology specifies the number of neurons needed in each layer, along with the desired output, thereby leading to a faster progressive training procedure that allows each layer to be trained separately. Two examples are presented to show the success of neural network design through decision-tree mapping. >read more
Citations
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Journal ArticleDOI
A survey of decision tree classifier methodology
S.R. Safavian,David A. Landgrebe +1 more
TL;DR: The subjects of tree structure design, feature selection at each internal node, and decision and search strategies are discussed, and the relation between decision trees and neutral networks (NN) is also discussed.
Journal ArticleDOI
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
TL;DR: This paper surveys existing work on decision tree construction, attempting to identify the important issues involved, directions the work has taken and the current state of the art.
Journal ArticleDOI
Supervised neural networks for the classification of structures
TL;DR: It is shown that neural networks can, in fact, represent and classify structured patterns and all the supervised networks developed for the classification of sequences can, on the whole, be generalized to structures.
References
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