Instantaneously trained neural networks
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Abstract Automatic lung disease detection is a critical challenging task for researchers because of the noise signals getting… Expand We have performed direct numerical simulation of turbulent open channel flow over a smooth horizontal wall in the presence of… Expand This paper presents a review of instantaneously trained neural networks (ITNNs). These networks trade learning time for size and… Expand Neural network architectures such as backpropagation networks, perceptrons or generalized Hopfield networks can handle complex… Expand SummaryThe influence of temperature in the range 25° to 45°C on the rate of dissolution and the equilibrium concentration of… Expand Multiplexing and space-time coding are competing ways of extracting capacity out of MIMO wireless systems. We address the problem… Expand This paper presents FC networks which are instantaneously trained neural networks that allow rapid learning of non-binary data… Expand The possible responses of ecosystem processes to rising atmospheric CO2 concentration and climate change are illustrated using… Expand methods—such as the backpropa-gation algorithm or self-organizing maps, the standard techniques for generaliza-tion—are… Expand One option-pricing problem which has hitherto been unsolved is the pricing of European call on an asset which has a stochastic… Expand