|국가/구분||United States(US) Patent 등록|
|미국특허분류(USC)||382/157 ; 395/23|
|발명자 / 주소|
|출원인 / 주소|
|인용정보||피인용 횟수 : 28 인용 특허 : 0|
An unsupervised back propagation method for training neural networks. For a set of inputs, target outputs are assigned l\s and O\s randomly or arbitrarily for a small number of outputs. The learning process is initiated and the convergence of outputs towards targets is monitored. At intervals, the learning is paused, and the values for those targets for the outputs which are converging at a less than average rate, are changed (e.g., 0→1, or 1→0), and the learning is then resumed with the new targets. The process is continuously iterated and the outputs c...
A method for training a neural network model running on a computer system to generate classifications from a training sample set, said neural network model representing a neural network having an input layer an output layer and at least one hidden layer between the input layer and the output layer wherein each layer includes at least one node and wherein each connection between two nodes of successive layers is characterized by an internal weight, said method comprising the steps of: (a) arbitrarily assigning a numeric label to each training sample signa...