Digital Signal and Image Processing Using Neural Networks

The use of neural networks for the processing of one- and two-dimensional data is examined in this research. The activating function being crucial to network performance, is frequently disregarded. This function is typically one of the non-adaptive functions. Adaptive sigmoid or ReLU functions are frequently employed but they have drawbacks as they alter the overall outcomes when data from a single, small area is adapted. Using flexible quadratic B-spline functions with free nodes is suggested in this study.

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