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Titlebook: Adaptive and Natural Computing Algorithms; 8th International Co Bartlomiej Beliczynski,Andrzej Dzielinski,Bernarde Conference proceedings 2

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51#
發(fā)表于 2025-3-30 08:15:23 | 只看該作者
M. S. Starr,G. Kambe,B. Miller,K. Raynerer. A more general Lyapunov-Krasovskii functional is proposed to derive a less conservative robust stability condition within the framework of linear matrix inequalities. A numerical example is given to illustrate the effectiveness of the proposed method.
52#
發(fā)表于 2025-3-30 15:36:58 | 只看該作者
53#
發(fā)表于 2025-3-30 19:52:34 | 只看該作者
M. S. Starr,G. Kambe,B. Miller,K. Rayner carry out massive first screening detection campaigns precludes the routinary diagnostic of these pathologies. This work presents a novel automatic system, based on Neural Networks (NN), for foot pathologies detection. In order to improve the efficiency of the neural network training algorithm, we
54#
發(fā)表于 2025-3-30 21:57:56 | 只看該作者
The Neurobiology of Reading Difficulties the demands on high productivity and consideration of environmental issues require that the processes still be strictly controlled. Due to the complexity and non-ideality of the processes, it is often not feasible to develop mechanistic models. An alternative is to use neural networks as black-box
55#
發(fā)表于 2025-3-31 03:11:39 | 只看該作者
M. S. Starr,G. Kambe,B. Miller,K. Raynerformed a set of simulations covering three uni-variate exchange rate signals which are; the JP/EU, JP/UK, and JP/US time series. The forecasting performance of the novel Dynamic Ridge Polynomial Neural Network is compared with the performance of the Multilayer Perceptron and the feedforward Ridge Po
56#
發(fā)表于 2025-3-31 07:26:58 | 只看該作者
57#
發(fā)表于 2025-3-31 12:00:45 | 只看該作者
58#
發(fā)表于 2025-3-31 14:24:56 | 只看該作者
59#
發(fā)表于 2025-3-31 17:39:51 | 只看該作者
60#
發(fā)表于 2025-3-31 22:42:32 | 只看該作者
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