A Simple Neural Network Pruning Algorithm with Application to Filter Synthesis
Neural Processing Letters
Neural Edge Detector - A Good Mimic of Conventional One Yet Robuster against Noise
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Neural Edge Enhancer for Supervised Edge Enhancement from Noisy Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neuro fuzzy and punctual kriging based filter for image restoration
Applied Soft Computing
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This article addresses the structure and properties of a new class of nonlinear adaptive filters called generalized adaptive neural filters (GANFs). Various properties, such as an upper bound of the mean absolute error of the filters, are analytically derived. Experimental results are presented to demonstrate the performance of the filters for signal and image enhancement. It is shown that GANFs not only extend the class of stack filters, but also have better performance in noise suppression