Resource Allocation with Potts Mean Field Neural Network Techniques
Abstract: Potts mean field artificial neural network techniques are developed and applied to airline crew scheduling problems and routing problems. A propagator formalism in terms of Potts neurons is developed to handle global topological issues. An integrated method for identifying and classifying ECG complexes is presented. Unsupervised self-organizing artificial neural networks are employed to cluster the beats.
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