Self validating model

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Finally, we want validation to be “invisible”: it must be done under the hood and never appear explicitly in our setter methods.

We also want to store our validation rules separately, somewhere where it makes more sense, and in a way that’s easily editable.This study proposes a self-validation cerebellar model articulation controller (SVCMAC) neural network which can yield high accuracy of predication and low false-negative rate for breast cancer diagnosis.With its self-validation unit, the SVCMAC neural network has higher classification accuracy than the conventional CMAC neural network.AB - Breast cancer is becoming a leading cause of death among women in the world.KW - Breast cancer diagnosis KW - Cerebellar model articulation controller KW - Self-validation UR -

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