Neural Network Term

 

°­È­ÇнÀ (Reinforcement learning)

°æÀï½Ä ½Å°æ¸Á (Competitive Neural Network)

±Í³³¹ý (Induction)

±â¿ï±â ÇÏ°­ (Gradient Descent)

³í¸®ÇÐ (Logic)

´ÙÃþ ÆÛ¼ÁÆ®·Ð (Multilayer Perceptron)

µÎ³ú (brain)

¸ÆÄ÷°-ÇÇÃ÷ ¸ðµ¨ (McCulloch-Pitts Model)

¸ðÀÇ ´ã±ÝÁú (Simulated Annealing)

¹®Á¦ÇØ°á (Problem Solving)

¹Ý´ë¹æÇâ ÀüÆÄ ³×Æ®¿öÅ© (Counterpropagation Network)

º´·ÄºÐ»êó¸® (Parallel Distributed Processing)

º¼Â길 ¸Ó½Å (Boltzmann Machine)

½Ã³À½º (Synapse)

½Ã¹Ä·¹ÀÌƼµå ¾î´Ò¸µ (Simulated Annealing)

½Å°æ¸Á (Neural Network)

½Å°æ»ý¸®ÇÐ (Neurophysiology)

½Å°æ¼¼Æ÷ (Neuron)

½Å°æÀü´Þ¹°Áú (Neurotransmitter)

¾Æ´Þ¶óÀÎ (Adaline)

¿ªÀüÆÄ (Back-propagation)

¿¬°áÁÖÀÇ (Connectionism)

À¯Àü¾Ë°í¸®Áò (Genetic Algorithm)

ÀÚ±âÁ¶Á÷È­ ¸Ê (Self-Organizing Map)

ÀÚÀ²ÇнÀ (Unsupervised Learning)

ÀûÀÀ°ø¸íÀÌ·Ð (Adaptive Resonance Theory)

Àü¹®°¡½Ã½ºÅÛ (Expert System)

ÁöµµÇнÀ (Supervised Learning)

Ãß·Ð (Reasoning)

ÄÁº¼·ç¼Ç ½Å°æ¸Á (Convolutional Neural Network)

ÄÚ±×´ÏÆ®·Ð (Cognitron)

ÆÐÅÏÀÎ½Ä (Pattern Recognition)

ÆÛ¼ÁÆ®·Ð (Perceptron)

Æí°ß (Bias)

Çǵå¹é (Feedback)   

ÇǵåÆ÷¿öµå (Feedforward)

ÇнÀ (Learning)

ÇñÀÇ ÇнÀ ±ÔÄ¢ (Hebbian learning rule)

È©ÇÊµå ³×Æ®¿öÅ© (Hopfield Network)

È°¼ºÈ­ ÇÔ¼ö (Activation Function)

Bart A. Kosko

David Rumelhart

Frank Rosenblatt

Gail A. Carpenter

Geoffrey Hinton

James McClelland

John Hopfield

Patricia S. Churchland

Paul M. Churchland

Stephen Grossberg

Teuvo Kohonen

Walter Pitts

Warren McCulloch