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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 1993, Vol. 14 ›› Issue (2): 26-32.
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Yang Guo-qing, Chen Song-can, Lu Jun
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Abstract: Based-on a single-layer pattern recognition system (WISARD) and referred to the concept of a sparse distributed memory (SDM) by P.Kanerva, this paper presents a novel multi-layer adaptive pattern recognition system model and describes in detail its processing procedures and main features. The results of primitive multi-font printed Chinese character recognition experiment are given.Unlike WISARD, MAPR replaces the normal RAM array with sparse RAM array, and the directly setting bit strategy with counting frequency training for n-tuple pattern, so that not only MAPR maintains the main advantages of WISARD, but its performance is obviously improved as well in the aspect of recognizing large-dimensional or non-deterministic pattern data.
Key words: pattern recognition system, sparse distrobuted memory
Yang Guo-qing;Chen Song-can;Lu Jun. A MULTI-LAYER ADAPTIVE PATLERN RECOGNITION SYSTEM MODEL[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 1993, 14(2): 26-32.
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