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9 Aug 2005: 1.3. ComputingThe HMM-ANN approach is very computationally expensive.The networks currently require about 1013 floating point op-erations to train and future estimates of the required computepower is one

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9 Aug 2005: This minimal amount of parameter optimisation per iteration was necessary to ensure smooth convergence to an op-timal set of input values, and the MSE decreased during training from 1.5007

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