Resource Allocation with Potts Mean Field Neural Network Techniques
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 t
