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» Interpretation of Trained Neural Networks by Rule Extraction
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IWANN
2001
Springer
15 years 1 months ago
Neuro-Fuzzy Nets in Medical Diagnosis: The DIAGEN Case Study of Glaucoma
This work presents an approach to the automatic interpretation of the visual field to enable ophthalmology patients to be classified as glaucomatous and normal. The approach is bas...
Enrique J. Carmona, José Mira, Juliá...
ICONIP
2007
14 years 11 months ago
Interpretable Piecewise Linear Classifier
In this study we propose a new ensemble model composed of several linear perceptrons. The objective of this study is to build a piecewise-linear classifier that is not only compet...
Pitoyo Hartono
75
Voted
IJCAI
1997
14 years 11 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
DATE
2003
IEEE
114views Hardware» more  DATE 2003»
15 years 2 months ago
Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks Using Hidden Neuron Clustering
This paper presents a new technique for automatically creating analog circuit models. The method extracts - from trained neural networks - piecewise linear models expressing the l...
Simona Doboli, Gaurav Gothoskar, Alex Doboli
INFORMATICALT
2007
95views more  INFORMATICALT 2007»
14 years 9 months ago
Neuro-IG: A Hybrid System for Selection and Elimination of Predictor Variables and non Relevant Individuals
In this article we present the general architecture of a hybrid neuro-symbolic system for the selection and stepwise elimination of predictor variables and non-relevant individuals...
Baghdad Atmani, Bouziane Beldjilali