论文信息 - Neurofuzzy Systems Modelling: A Transparent Approach

Neurofuzzy Systems Modelling: A Transparent Approach

Data modelling is a broad area with many applications, and is concerned with capturing the relationships of complex systems from observations made on them. A cyclic construction approach to data modelling is advocated here, based on a designtrain-validate-interpret cycle. Traditional approaches to data modelling with neural networks typically produce opaque systems which are difficult to interpret and hence validate. Neurofuzzy systems equip neural networks with a linguistic interpretation which provides the designer with enhanced transparency enabling the loop to be closed in the modelling cycle.

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