Improvements and extensions to the constructive algorithm CARVE

1996 ◽  
pp. 513-518 ◽  
Author(s):  
Steven Young ◽  
Tom Downs
Keyword(s):  
Constructive Algorithm

FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm

2017 ◽  
Vol 46 (3) ◽  
pp. 899-914 ◽  
Author(s):  
Francisco Ortega-Zamorano ◽  
José M. Jerez ◽  
Gustavo E. Juárez ◽  
Leonardo Franco
Keyword(s):  
Back Propagation ◽  
Fpga Implementation ◽  
Constructive Algorithm ◽  
Models Comparison

Constructive algorithm for fully connected cascade feedforward neural networks

2016 ◽  
Vol 182 ◽  
pp. 154-164 ◽  
Author(s):  
Junfei Qiao ◽  
Fanjun Li ◽  
Honggui Han ◽  
Wenjing Li
Keyword(s):  
Neural Networks ◽  
Feedforward Neural Networks ◽  
Constructive Algorithm ◽  
Fully Connected

A CONSTRUCTIVE ALGORITHM THAT CONVERGES FOR REAL-VALUED INPUT PATTERNS

1994 ◽  
Vol 05 (01) ◽  
pp. 59-66 ◽  
Author(s):  
NEIL BURGESS
Keyword(s):  
Constructive Algorithms ◽  
Constructive Algorithm ◽  
Cascade Correlation ◽  
Specific Error

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.

CARVE-a constructive algorithm for real-valued examples

1998 ◽  
Vol 9 (6) ◽  
pp. 1180-1190 ◽  
Author(s):  
S. Young ◽  
T. Downs
Keyword(s):  
Constructive Algorithm
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