Neural Signal Understanding for Instrumentation

Explanation Facility for Neural Networks

“…Case A: Instrument Calibration [8] The neural network is presented with a signal set), each input node has as attribute the time t at which that measurement was made, and the string G(i) is a combination of the corresponding instrument control loop settings together with a qualitative assessment of the significance of the signal shape around that observation set). The Why?…”

“…It was proposed in [8], and used within the framework of an industrial project. The corresponding approach is first explained in terms of the principles involved; Section 7.2 then describes briefly two real-life cases which serve both as test cases and motivation: one from instrument calibration, and one from securities trading, both using backpropagation neural networks.…”