Sara E. McCaslin

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A new approach to extract knowledge from multispectral images is suggested. We describe a method to extract and optimize classification rules using fuzzy neural networks (FNNs). The FNNs consist of two stages. The first stage represents a fuzzifier block, and the second stage represents the inference engine. After training, classification rules are(More)
0965-9978/$ see front matter 2011 Civil-Comp Lt doi:10.1016/j.advengsoft.2011.05.035 ⇑ Corresponding author. E-mail address: lawrence@uta.edu (K.L. Lawrence) Closed-form expressions for straight-sided isoparametric tetrahedral finite element stiffness matrices up to p-level 3 have been shown to offer significant time savings when compared to numerical(More)
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