"Terry McCracken" <terrym@it*.ns*.co*.au*> writes: >> There has been some discussion on the limitations of the dive >> computers not having enough grunt to perform complex caclulations for >> advanced dive alogrythims (close enough?). Has there been any research into >> either some form of neural-nets type computation... Then <devon@ol*.ch*> writes: > I do research with a technique called stochastic discrimination which is > a fast, low memory, general technique for solving problems like pattern > recognition and optimization. I would love to tackle this problem and I've > been keeping my eyes open for good data but I haven't run across any. I have a background in neural networks and other soft-computing methods. I think that there would be a verification problem with using NNs in dive computers, and also that using NNs in this type of problem would be very computationally intensive (although computing power is becoming cheaper by the minute, and there are some good dedicated DSPs & NN processors that could do the job). It could certainly be done, but I don't see the advantage that it would give you over the current approaches used in dive computers. Christina
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