Abstract: Problems associated to signal automatic recognition by Neural Networks is studied with computer simulations and ¹⁴N remote NQR experiments.The effectiveness of the multiple layer back propagation algorithm for solving the problems is venfied.The experimental result indicates that,under the condition of very low signal-to-noise ratio and very strong interferences,the B-P algorithm still keeps a very high recognition (>90%).This is of significant improtance in remote NQR applications.

Key words: Signal Recognition, Neural networks, Remote NQR