Invariance of WNNs Performance for Pattern Recognition Testing Translated Image Input Spaces

摘要: Weightless Neural Networks (WNNs) have been used in pattern recognition vision systems for many years. In operation, a series of images an object are presented to the network, each being processed suitably and effectively stored memory called discriminator. Then, when another image is shown system, it similar manner system reports how taught The operation these networks requires that binary values be produced from input data (processing data). this paper, network generalisation properties, recognising unseen images, studied translated images.