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Bond graph (BG) is an effective tool for modeling complex systems and it has been proven useful for fault detection and isolation (FDI) for continuous systems. BG provides the causal relations between system's variables which allow FDI algorithms to be developed systematically from the graph. In the same spirit, Hybrid bond graph (HBG) is a BG-based modeling approach which provides an avenue to model...
This paper presents an improved back propagation network (iBPN) with dynamic learning rates to accelerate the network learning and convergence speed. As compared with conventional BPN, the improved BPN is able to approximate the complex non-linear functions with higher efficiency and accuracy. Wavelet neural network (WNN) is a comparatively novel universal tool for functional approximation, and is...
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