5. Conclusion

In this paper, we proposed the improved methods using VQ, GIM, and SDM. The features of the proposed methods are as follows:

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pM (x) considering both input and output of learning data.

As a result, it was shown that the proposed methods using the probability distribution considering both input and output parts of learning data were superior to other methods in numerical simulation of pattern classification.

In the future works, we will consider the new idea using VQ and apply the proposed method to control problem.
