Title :
Adaptive gain networks
Author :
Codrington, Craig W. ; Tenorio, Manoel F.
Author_Institution :
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
fDate :
27 Jun-2 Jul 1994
Abstract :
We propose several neuron models featuring adaptive gain parameters in addition to the weights. These are shown to enhance learning speed on parity problems of various sizes
Keywords :
neural nets; adaptive gain networks; adaptive gain parameters; learning speed; neuron models; parity problems; Acceleration; Adaptive systems; Annealing; Ear; Error correction; Intelligent networks; Neural networks; Neurons;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374186
