代码搜索：cascade
找到约 5,158 项符合「cascade」的源代码
代码结果 5,158
www.eeworm.com/read/459924/7262671
py cascade_train.py
#!/usr/bin/python
from pyfann import libfann
num_neurons_hidden = 4
num_output = 1
desired_error = 0.0001
max_neurons = 40
neurons_between_reports = 1
steepnesses = [0.1,0.2,0.4,0.5,0.6,0.7
www.eeworm.com/read/445470/7595255
m cascade_to_canonical.m
% cas2can.m - cascade to canonical
%
% a = cas2can(A)
%
% convolves the rows of A
% A is Kx3 coefficient matrix (or, Kx5 for bandpass filters)
% based on cas2can.c
function a = cas2can(A)
[K, L] = s
www.eeworm.com/read/445470/7595256
m cascade_realization.m
% cas.m - filtering by cascade of 2nd order sections
%
% [y, W] = cas(K, B, A, W, x)
%
% B = Kx3 numerator matrix
% A = Kx3 denominator matrix
% W = Kx3 state matrix
% x = scalar input
% y = scalar ou
www.eeworm.com/read/442661/7647970
bmp application_cascade.bmp
www.eeworm.com/read/399996/7816595
m cascade_correlation.m
function [test_targets, Wh, Wo, J] = Cascade_Correlation(train_patterns, train_targets, test_patterns, params)
% Classify using a backpropagation network with the cascade-correlation algorithm
% I
www.eeworm.com/read/397099/8068737
m cascade_correlation.m
function [test_targets, Wh, Wo, J] = Cascade_Correlation(train_patterns, train_targets, test_patterns, params)
% Classify using a backpropagation network with the cascade-correlation algorithm
% I
www.eeworm.com/read/245941/12770749
m cascade_correlation.m
function [test_targets, Wh, Wo, J] = Cascade_Correlation(train_patterns, train_targets, test_patterns, params)
% Classify using a backpropagation network with the cascade-correlation algorithm
% I
www.eeworm.com/read/330850/12864719
m cascade_correlation.m
function [test_targets, Wh, Wo, J] = Cascade_Correlation(train_patterns, train_targets, test_patterns, params)
% Classify using a backpropagation network with the cascade-correlation algorithm
% I
www.eeworm.com/read/241364/13151076
sql cascade_mutation.sql
DROP TABLE detail_table;
DROP TABLE master_table;
CREATE TABLE master_table
(master_id NUMBER NOT NULL PRIMARY KEY);
CREATE TABLE detail_table
(detail_id NUMBER NOT NULL,
master_id NUMBER N
www.eeworm.com/read/317622/13500814
m cascade_correlation.m
function [test_targets, Wh, Wo, J] = Cascade_Correlation(train_patterns, train_targets, test_patterns, params)
% Classify using a backpropagation network with the cascade-correlation algorithm
% I