Search Results

ARTIFICIAL NEURAL NETWORK MODELING FOR REFORESTATION DESIGN THROUGH THE DOMINANT TREES BOLE-VOLUME ESTIMATION

Authors: DIAMANTOPOULOU, MARIA J.; MILIOS, ELIAS; DOGANOS, DIMITRIOS; BISTINAS, IOANNIS

Source: Natural Resource Modelling, Volume 22, Number 4, November 2009 , pp. 511-543(33)

Publisher: Blackwell Publishing

Discriminant Analysis of Fused Positive and Negative Ion Mobility Spectra Using Multivariate Self-Modeling Mixture Analysis and Neural Networks

Authors: Chen, Ping; Harrington, Peter B.

Source: Applied Spectroscopy, Volume 62, Issue 2, Pages 32A-72A and 133-257 (February 2008) , pp. 133-141(9)

Publisher: Society for Applied Spectroscopy

A systematic comparison of flat and standard cascade-correlation using a student-teacher network approximation task

Authors: Dandurand, F.; Berthiaume, V.; Shultz, T. R.

Source: Connection Science, Volume 19, Number 3, September 2007 , pp. 223-244(22)

Publisher: Taylor and Francis Ltd

Neural networks discover a near-identity relation to distinguish simple syntactic forms

Authors: Shultz, Thomas; Bale, Alan

Source: Minds and Machines, Volume 16, Number 2, May 2006 , pp. 107-139(33)

Publisher: Springer

Predicting protein secondary structure by cascade-correlation neural networks

Authors: Wood M.J.; Hirst J.D.

Source: Bioinformatics, Volume 20, Number 3, 12 February 2004 , pp. 419-420(2)

Publisher: Oxford University Press

Evaluation of constructive neural networks with cascaded architectures

Authors: Lahnajarvi J.J.T.; Lehtokangas M.I.; Saarinen J.P.P.

Source: Neurocomputing, Volume 48, Number 1, October 2002 , pp. 573-607(35)

Publisher: Elsevier

Knowledge-based cascade-correlation: using knowledge to speed learning

Authors: Shultz T.R.; Rivest F.

Source: Connection Science, Volume 13, Number 1, 1 March 2001 , pp. 43-72(30)

Publisher: Taylor and Francis Ltd

The use of cascade-correlation neural networks in University fund raising

Authors: Wong B.K.; Bodnovich T.A.; Lai V.S-K.; Correspondence

Source: Journal of the Operational Research Society, Volume 51, Number 8, 1 August 2000 , pp. 913-920(8)

Publisher: Palgrave Macmillan

Modified constructive backpropagation for regression

Author: Lehtokangas M.

Source: Neurocomputing, Volume 35, Number 1, November 2000 , pp. 113-122(10)

Publisher: Elsevier

Constructive Backpropagation for Recurrent Networks

Author: Lehtokangas M.

Source: Neural Processing Letters, Volume 9, Number 3, June 1999 , pp. 271-278(8)

Publisher: Springer

Fusion of image classifications using Bayesian techniques with Markov random fields

Authors: Warrender C. E.; Augusteijn M. F.

Source: International Journal of Remote Sensing, Volume 20, Number 10, 1999 , pp. 1987-2002(16)

Publisher: Taylor and Francis Ltd

Modelling with constructive backpropagation

Author: Lehtokangas M.

Source: Neural Networks, Volume 12, Number 4, June 1999 , pp. 707-716(10)

Publisher: Elsevier

Wetland classification using optical and radar data and neural network classification

Author: Warrender M.F.A. C. E.

Source: International Journal of Remote Sensing, Volume 19, Number 8, 1998 , pp. 1545-1560(16)

Publisher: Taylor and Francis Ltd

Neural Network Modeling of Developmental Effects in Discrimination Shifts

Authors: Sirois S.; Shultz T.R.

Source: Journal of Experimental Child Psychology, Volume 71, Number 3, December 1998 , pp. 235-274(40)

Publisher: Academic Press

An Efficient Partition of Training Data Set Improves Speed and Accuracy of Cascade-correlation Algorithm

Authors: Tetko I.V.; Villa A.E.P.; Tetko I.V.

Source: Neural Processing Letters, Volume 6, Numbers 1-2, August 1997 , pp. 51-59(9)

Publisher: Springer

On the Computational Power of Recurrent Neural Networks for Structures

Author: Sperduti A.

Source: Neural Networks, Volume 10, Number 3, April 1997 , pp. 395-400(6)

Publisher: Elsevier

A Neural-network Approach to the Detection of Texture Boundaries

Authors: Augusteijn M.F.; Clemens L.E.

Source: Engineering Applications of Artificial Intelligence, Volume 9, Number 1, February 1996 , pp. 75-81(7)

Publisher: Elsevier

The Time-Sliced Paradigm--A Connectionist Method for Continuous Speech Recognition

Authors: Kirschning I.; Tomabechi H.; Koyama M.; Aoe J.-i.

Source: Information Sciences, Volume 93, Number 1, August 1996 , pp. 133-158(26)

Publisher: Elsevier

Neural network-based predictions of hand movements using simulated and real EEG data

Authors: Masic N.; Pfurtscheller G.; Flotzinger D.

Source: Neurocomputing, Volume 7, Number 3, April 1995 , pp. 259-274(16)

Publisher: Elsevier