A Physical neural network is a selected type of neuromorphic hardware that depends on electrically adjustable resources, which include memristors, to emulate the perform of neural synapses. Types of supervised-learning algorithms involve active learning, classification and regression.[48] Classification algorithms are applied when the outputs are restricted to some confined set http://emjun.com/index.php?mid=mmm&document_srl=1250534