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In this paper, we present a Modified Robust Particle Swarm Optimization based learning technique for automatic extraction of fuzzy rules and subsequently for updating the parameters of a self-organized neuro-fuzzy network. The learning algorithm of network parameters is based on assigning balanced importance on local and global information. Experiments, conducted with standard benchmark problems,...
Volume Yield Diagnostics (VYD) is crucial to diagnose critical systematic yield issues from the reports obtained by testing thousands of chips. This paper presents an efficient clustering technique for VYD that has been shown to work successfully both in the simulation environment as well as on real industrial failure data.
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