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  • Neural Network

    Would it be possible to use neural network software in metal detector to learn and predict targets?

  • #2
    In my opinion classic maths is better for it.

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    • #3
      Originally posted by johnl View Post
      Would it be possible to use neural network software in metal detector to learn and predict targets?


      Possibly, but you would be skating on the thin ice of leading edge technology, that is unless you found a quick and dirty way of doing it.

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      • #4
        ....I have to nail the obvious one. Detectors already use nueral networks ...the guy holding the detector is running a neural network on his meat ware aka brain to process target info. To translate that into hardware would be an interesting project have you got any ideas or are you just after an opinion?

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        • #5
          Hi all,

          there is a nice thesis on "Metal Detection Using Neural Networks":
          http://www.academia.edu/1468268/Meta...eural_Networks

          (alternate: http://docsfiles.com/view.php?view=h...20sussex&count= )

          (pdf: http://base2designs.com/THESIS2.pdf )

          Aziz

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          • #6
            I saw article for mine detection just curious if it could transferred to a PI project I am just amateur it is over my head
            http://ieeexplore.ieee.org/xpl/login...mber%3D5445767

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            • #7
              VLF or IB may give more usefull infomation than PI(as in what goes to the neural net), you could shift to that format later, if the proof of concept experiment is valid

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              • #8
                Hi all,

                my own thesis was on neural networks (1992/93) and its application on medical analysis (classifying chromosomes and sperms - but not my own ). It worked fine.

                There are dozens/hundreds of sources (source codes, binaries, tools) about neural networks (NN). Thousands of interesting publications and its applications. Just have a look if you are interested in the matter.

                Successful implementation of NN will cause a lot of work however.
                Aziz

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                • #9
                  Originally posted by Aziz View Post
                  Successful implementation of NN will cause a lot of work however.
                  Aziz
                  Aziz, most of the time I can't make any sense of the things you say here, but that statement (in a field where you seem to have some actual expertise) really hit the nail on the head. You must have laughed for at least 10 minutes after making that post.

                  I don't often say much about what we do or don't have under development in El Paso USA, but rest assurred we are NOT screwing around with neural networks!

                  --Dave J.

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                  • #10
                    I should add that there's room in the world for a bit of everything, and that I highly encourage our competitors to go down the neural network road that I've explicitly stated we left open for other rush hour drivers.

                    --Dave J.

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                    • #11
                      Originally posted by Dave J. View Post
                      Aziz, most of the time I can't make any sense of the things you say here, but that statement (in a field where you seem to have some actual expertise) really hit the nail on the head. You must have laughed for at least 10 minutes after making that post.

                      I don't often say much about what we do or don't have under development in El Paso USA, but rest assurred we are NOT screwing around with neural networks!

                      --Dave J.
                      Hi Dave,

                      there are many pitfalls one can fall into by using NNs. Precautions must be made and it requires fully understanding to avoid the pitfalls. In principle, it is even very simple to use NNs. One don't have to understand the physics behind the non-trivial problem.

                      One of the biggest advantages of the NN's is, that one can analyse the quality of the input parameters and whether they contribute to the solution of the non-trivial problem. If one parameter does not contribute to the solution, the associated network weights convergate to zero. It is a very useful data mining tool however.

                      Metal detection is very trivial task of course. So we don't need NNs as the physics behind it is well-known and the problem can be solved quite easily.

                      Cheers,
                      Aziz

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                      • #12
                        There is another point, a proper interface that would enable our own brains to perform neural networks' tasks more successfully. There is actually only so much you can do, as cognitive capacity of our senses is limited.

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                        • #13
                          Hi all,

                          there are very sceptic subjects around the forums. And evil subjects, which are ridiculing the NNs and myself (PJ ).
                          (Hey!, if you aren't an expert, just keep quiet and learn from the majik master. *LOL*)

                          I've posted an application of a NN on the Australian Electronic Gold Prospecting forum. You must be a member there to see the picture I have posted recently.

                          Cheers,
                          Aziz

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                          • #14
                            Originally posted by Aziz View Post
                            Hi all,

                            there are very sceptic subjects around the forums. And evil subjects, which are ridiculing the NNs and myself (PJ ).
                            (Hey!, if you aren't an expert, just keep quiet and learn from the majik master. *LOL*)

                            I've posted an application of a NN on the Australian Electronic Gold Prospecting forum. You must be a member there to see the picture I have posted recently.

                            Cheers,
                            Aziz
                            Hi all,

                            if you are interested in the implementation of the NN application (Backpropagation type NN), see in the other forum for the fully suplied source code and binaries (C/C++ Win32 application).
                            (It's Christmas)

                            (You have to be a member there to download it I think. Guests can not see pictures and download attachments I think. Search for the "NEURAL NETWORKS" topic.)

                            Aziz

                            Comment


                            • #15
                              Originally posted by Aziz View Post
                              Hi all,

                              if you are interested in the implementation of the NN application (Backpropagation type NN), see in the other forum for the fully suplied source code and binaries (C/C++ Win32 application).
                              (It's Christmas)

                              (You have to be a member there to download it I think. Guests can not see pictures and download attachments I think. Search for the "NEURAL NETWORKS" topic.)

                              Aziz
                              Is there any reason why you don't post it here?

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