代码搜索:quickprop

找到约 57 项符合「quickprop」的源代码

代码结果 57
www.eeworm.com/read/388876/8569021

html r1209.html

fann_get_quickprop_decay
www.eeworm.com/read/388876/8569292

html r1257.html

fann_set_quickprop_mu
www.eeworm.com/read/388876/8569382

html r1242.html

fann_get_quickprop_mu
www.eeworm.com/read/170695/6344077

net xor.net

[TRAINING] QUICKPROP %training method [MINWEIGHTS] -10 %minimum weight value [MAXWEIGHTS] 10 %maximum weight value [PERTURBATION] 5 %maximum weight perturbation [SATURATION] 80 %saturation thr
www.eeworm.com/read/170695/6344074

diz file_id.diz

QwikNet V1.0 is a powerful, yet easy-to-use artificial neural network simulator. QwikNet implements several training algorithms including: online & batch BP, delta-bar-delta, Quickprop and Rpr
www.eeworm.com/read/191902/8417041

txt classification.txt

Ada_Boost@Num iter, type, params:@[100,'Stumps',100]@L Backpropagation_Batch@Nh, Theta, Convergence rate:@[5, 0.1, 0.1]@L Backpropagation_CGD@Nh, Theta:@[5, 0.1]@L Backpropagation_Quickprop@Nh, The
www.eeworm.com/read/286662/8751612

txt classification.txt

Ada_Boost@Num iter, type, params:@[100,'Stumps',[]]@L Backpropagation_Batch@Nh, Theta, Convergence rate:@[5, 0.1, 0.1]@L Backpropagation_CGD@Nh, Theta:@[5, 0.1]@L Backpropagation_Quickprop@Nh, Thet
www.eeworm.com/read/177129/9468737

txt classification.txt

Ada_Boost@Num iter, type, params:@[100,'Stumps',100]@L Backpropagation_Batch@Nh, Theta, Convergence rate:@[5, 0.1, 0.1]@L Backpropagation_CGD@Nh, Theta:@[5, 0.1]@L Backpropagation_Quickprop@Nh, The
www.eeworm.com/read/372113/9521070

txt classification.txt

Ada_Boost@Num iter, type, params:@[100,'Stumps',[]]@L Backpropagation_Batch@Nh, Theta, Convergence rate:@[5, 0.1, 0.1]@L Backpropagation_CGD@Nh, Theta:@[5, 0.1]@L Backpropagation_Quickprop@Nh, Thet
www.eeworm.com/read/362008/10023761

txt classification.txt

Ada_Boost@Num iter, type, params:@[100,'Stumps',[]]@L Backpropagation_Batch@Nh, Theta, Convergence rate:@[5, 0.1, 0.1]@L Backpropagation_CGD@Nh, Theta:@[5, 0.1]@L Backpropagation_Quickprop@Nh, Thet