Originally Posted by BillCobb
Fine. But what does an ANN or an RNN bring to the table (read that STUDENT'S table) other than a model of the data ? Really, you want a model of the TIRE which was tested and have obtained a bag of data for it from a test facility.
May I point out that some of the TTC data has some questionable events and traits (Especially Round 5) that will be perfectly represented by an error minimizing NN. But is that what you want ? Or would you like a tire model that is easy to produce results for, fits PFG, ignores the blemishes and pimples from the testing process, can be factored into a vehicle model and used to predict it's stability, steering gain, max lat and that so wonderfully overstated 'yaw damping' metric ? All of this while looking hopelessly into a design judges blank stare resulting from a complete lack of understanding of the AI subject ? Extra points if your data model is common with the tire manufacturers. Otherwise there is an obvious translation cost. That won't sit well in closing arguments in an employment interview.
Or was this suggestion accompanied by a Flux Capacitor hack ?
Agreed.
Just throwing down a challenge.
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