Abstract
Artificial neural networks are composed of interconnecting artificial neurons. Artificial neural networks may either be used to gain an understanding of biological neural networks, or for solving artificial intelligence problems without necessarily creating a model of a real biological system. Average interpolating scaling function is constructed with symmetric interpolating scaling function, and the two scaling functions are given the relationship between the derivatives, which provides a convenient approach for the interpolation, and greatly improve accuracy.
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