1,720,991 research outputs found
Self-organizing neural fuzzy inference network
No full textA self-organizing neural network is proposed which is inherently a fuzzy inference system with the capability of learning fuzzy rules from data. The learning strategy consists of two phases: a self-organizing clustering to establish the structure of the network as well as the initial values of its parameters and a supervised learning phase for optimal adjustment of these parameters. After learning, the network encodes in its structure the essential design parameters of a fuzzy system. An example is given to illustrate the characteristics and capabilities of the proposed network
Some fundamental interpretability issues in fuzzy modeling
No full textInterpretability is a fundamental requirement for fuzzy models that has not been exhaustively addressed in literature. This paper rises some fundamental questions concerning interpretability with the aim of promoting deeper insights in the study and application of this property in fuzzy modeling
Discovering interpretable classification rules from neural processed data
No full textIn this paper we describe a neuro-fuzzy model to extract interpretable classification rules from examples. Such model is trained in a parameter subspace where a number of formal properties, which characterize understandable knowledge bases, are satisfied. To deal with the curse of dimensionality problem, which occurs when our model is used in high-dimensional classification tasks, an "A Priori Pruning" method is also proposed
An empirical comparison of node pruning methods for layered feed-forward neural networks
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