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  • R. Mehra
  • 1977
This paper reviews basic concepts of GMDH as developed by Ivakhnenko and his coworkers in the U.S.S.R. The attractive features of GMDH are: (i) It determines the structure of nonlinear systems. (ii) It separates fitting and checking sets to avoid the pitfalls of overfitting. (iii) It can employ multicriteria objective function for model validation. These(More)
Signature verification systems can be categorized as offline (static) and online (dynamic). This paper presents Surf features and neural-fuzzy techniques based recognition of offline signatures system that is trained with low-resolution scanned signature images. The signature of a person is an important biometric attribute of a human being which can be used(More)
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