CARVE-a constructive algorithm for real-valued examples

1998 ◽  
Vol 9 (6) ◽  
pp. 1180-1190 ◽  
Author(s):  
S. Young ◽  
T. Downs
2017 ◽  
Vol 46 (3) ◽  
pp. 899-914 ◽  
Author(s):  
Francisco Ortega-Zamorano ◽  
José M. Jerez ◽  
Gustavo E. Juárez ◽  
Leonardo Franco

2016 ◽  
Vol 182 ◽  
pp. 154-164 ◽  
Author(s):  
Junfei Qiao ◽  
Fanjun Li ◽  
Honggui Han ◽  
Wenjing Li

1994 ◽  
Vol 05 (01) ◽  
pp. 59-66 ◽  
Author(s):  
NEIL BURGESS

A constructive algorithm is presented which combines the architecture of Cascade Correlation and the training of perceptron-like hidden units with the specific error-correcting roles of Upstart. Convergence to zero errors is proved for any consistent classification of real-valued pattern vectors. Addition of one extra element to each pattern allows hyper-spherical decision regions and enables convergence on real-valued inputs for existing constructive algorithms. Simulations demonstrate robust convergence and economical construction of hidden units in the benchmark “N-bit parity” and “twin spirals” problems.


2021 ◽  
Vol 152 ◽  
pp. 107029
Author(s):  
Xing Wang ◽  
Ling Wang ◽  
Shengyao Wang ◽  
Jing-fang Chen ◽  
Chuge Wu

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