AIMC Topic: Computer Simulation

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Feature selection using a neural framework with controlled redundancy.

IEEE transactions on neural networks and learning systems
We first present a feature selection method based on a multilayer perceptron (MLP) neural network, called feature selection MLP (FSMLP). We explain how FSMLP can select essential features and discard derogatory and indifferent features. Such a method...

Jump neural network for real-time prediction of glucose concentration.

Methods in molecular biology (Clifton, N.J.)
Prediction of the future value of a variable is of central importance in a wide variety of fields, including economy and finance, meteorology, informatics, and, last but not least important, medicine. For example, in the therapy of Type 1 Diabetes (T...

Graph degree sequence solely determines the expected hopfield network pattern stability.

Neural computation
We analyze the effect of network topology on the pattern stability of the Hopfield neural network in the case of general graphs. The patterns are randomly selected from a uniform distribution. We start the Hopfield procedure from some pattern v. An e...

A correlative investigation of simulated occupant motion and accident report in a helicopter crash.

Aviation, space, and environmental medicine
BACKGROUND: In the late 1980's, an Army Apache helicopter crashed during a training mission, resulting in fatal injuries to the rear seat pilot and survivable injuries to the front seat copilot. U.S. Army investigators assessed the aircraft damage an...