How does fuzzy neural inference work?
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01 Jan 2004 42 Citations | This mapping makes explicit the knowledge implicitly captured by the neural network during the learning stage, by transforming it into a fuzzy inference system. |
14 Apr 2010 12 Citations | It generates a fuzzy neural model with a high accuracy and compact structure. |
3 Citations | This paper proposes a new neural fuzzy inference system that mainly consists of four parts. |
| Although the method is described on a specific fuzzy/neural architecture, it is applicable to any realization of a fuzzy inference system, including adaptive and/or static fuzzy inference systems. | |
278 Citations | The fuzzy neural networks have the potential to capture the benefits of the two fascinating fields, fuzzy logic and neural networks, into a single capsule. |
| This property provides us with a means to theoretically analyse the output behaviour of fuzzy neural networks. | |
30 Citations | Although the method is described on a specific fuzzy/neural architecture, it is applicable to other realizations, including adaptive or static fuzzy inference systems. |
| The formulation is useful in studying the characteristics of multistage fuzzy inference and reveals its structural relationship to multilayer perceptrons. | |
18 Jul 2010 | In Part II, we will argue that the experimental results support the claim that our present theoretical analysis provides a sound interpretation of Mamdani-type fuzzy inference. |
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