مقاله شبکه های عصبی هاپفیلد دارای ارزش مجتمع متقارن

عنوان مقاله فارسی: شبکه های عصبی هاپفیلد دارای ارزش مجتمع متقارن عنوان مقاله لاتین: Symmetric Complex-Valued Hopfield Neural Networks نویسندگان: Masaki Kobayashi تعداد صفحات: 4 سال انتشار: 2017 زبان: لاتین Abstract: Complex-valued neural networks, which are extensions of ordinary neural networks, have been studied as interesting models by many researchers. Especially, complex-valued Hopfield neural networks (CHNNs) have been used to process multilevel data, such as gray-scale images. CHNNs with Hermitian connection weights always converge using asynchronous update. The noise tolerance of CHNNs deteriorates extremely as the resolution increases. Noise tolerance is one of the most controversial problems for CHNNs. It is known that rotational invariance reduces noise tolerance. In this brief, we propose symmetric CHNNs (SCHNNs), which