# Method of Artificial Neural Networks Teaching

##### Citations

452 citations

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##### References

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### "Method of Artificial Neural Network..." refers background in this paper

...When traditional Gaussians are used as a function of belonging (9), the corresponding gradient formulas of the objective function (12) for one pair of training data takes the form (Sugeno and Kang, 1998)...

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...(15) When traditional Gaussians are used as a function of belonging (9), the corresponding gradient formulas of the objective function (12) for one pair of training data takes the form (Sugeno and Kang, 1998)...

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2,575 citations

1,528 citations

### "Method of Artificial Neural Network..." refers background in this paper

...(24) ‒ a learning algorithm that has tracking and smoothing properties (Narendra and Parthasarathy, 1990)...

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452 citations

### "Method of Artificial Neural Network..." refers methods in this paper

...…realizes nonlinear mapping of the input space into a scalar output signal 1nR R , which is similar to a normalized RBFN (Haykin, 1999), and in architecture (at a fixed h) coincides with a TSK system (Takagi, Sugeno, Kang) of zero-order, that is called Wang-Mendel architecture (Nelles, 2001)....

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