Ana Luiza B. P. Barros

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The hypothesis that abrupt spatial gradients in erosion can cause high strain rates in active orogens has been supported by numerical models that couple erosional processes with lithospheric deformation via gravitational feedbacks. Most such models invoke a 'stream-power' rule, in which either increased discharge or steeper channel slopes cause higher(More)
Classical linear neural network architectures, such as the optimal linear as-sociative memory (OLAM) [29] and the Adaptive Linear Element (Adaline) [40, 38], are commonly used either as a standalone pattern classifier for linearly separable problems or as a fundamental building block of multilayer nonlinear classifiers, such as the multilayer perceptron(More)
Classical linear neural network architectures, such as the optimal linear associative memory (OLAM) Kohonen and Ruohonen (IEEE Trans Comp 22(7):701–702, 1973) and the adaptive linear element (Adaline) Widrow (IEEE Signal Process Mag 22(1):100–106, 2005; Widrow and Winter (IEEE Comp 21(3):25–39, 1988), are commonly used either as a standalone pattern(More)
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