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The Medical Diagnostic Network based on the brainstateinabox neural network formulates disease hypotheses
Military and aerospace diagnostics systems require timecritical flightline response to fault symptoms An extensive
The neural network algorithm presented in this paper requires two and only two steps to sort any number of elements
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adaptive algorithm analysis annealing approach architecture associative memory Auerbach Publishers autoassociative back-propagation behavior binary Boltzmann machine chaotic systems chapter classification clusters complex Conference on Neural connections data base developed diagnostics disease dynamic Equation error example exemplar map expert systems feed-forward Gaussian machine hidden layer HOBAM network Hopfield Hopfield network IEEE implementation incipient fault input pattern International Joint Conference iteration Journal of Neural learning rate machine network manufacturing MDNet multilayer perceptron neocognitron neural computing Neural Network Computing neurocomputing neurons NeuroShell noise nonlinear operation optimal parallel Parallel Distributed Processing parameters pattern recognition pattern vectors performance pixels predict problem processing propagation random variables recall representation Sample scheduling self-organization sensor ship classes shown in Exhibit signal simulation solution Stochastic Neural Network subnetwork supervised learning surface symptoms technique term threshold tion training data training set values weight-decay weights