Calibration of non-linear analytical systems by a neuro fuzzy approach
作者： B. Walczak , W. Wegscheider
DOI: 10.1016/0169-7439(93)E0077-H
关键词: Artificial intelligence 、 Fuzzy logic 、 Nonlinear system 、 Calibration (statistics) 、 Artificial neural network 、 Principal component analysis 、 Experimental data 、 Neuro-fuzzy 、 Adaptive neuro fuzzy inference system 、 Mathematics
摘要: Abstract Building in of fuzzy logic into the neural network structure and application back-propagation learning algorithm allows construction neuro system (NFS). The performance this approach calibration non-linear systems was evaluated using simulated experimental data sets. A comparison obtained results with an outcome several other approaches, i.e., networks, principal component analysis-neural performed.
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