| 摘要 |
A method structure for the compression of data utilizes an encoder which effects a transform with the aid of a coding neural network, and a decoder which includes a matched decoding neural network with effects almost the inverse transform of the encoder. The method puts in competition M coding neural networks (301 to 30M) wherein M>1 positioned at the transmission end which effects a same type of transform and the encoded data of one of which are transmitted, after selection (32, 33) at a given instant, towards a matched decoding neural network which forms part of a set of several matched neural networks (601 to 60Q) provided at the receiver end. Learning is effected on the basis of predetermined samples. The encoder may comprise, in addition to the coding neural network (301 to 30M), a matched decoding neural network (351 to 35M) so as to effect the selection (32, 33) of the best coding neural network in accordance with an error criterion.
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