Citation: Gm. Foody, FULLY FUZZY SUPERVISED CLASSIFICATION OF LAND-COVER FROM REMOTELY-SENSED IMAGERY WITH AN ARTIFICIAL NEURAL-NETWORK, NEURAL COMPUTING & APPLICATIONS, 5(4), 1997, pp. 238-247
Citation: Hjl. Vandersteen et Jd. Black, TEMPERATURE ANALYSIS OF COHERENT ANTI-STOKES-RAMAN SPECTRA USING A NEURAL-NETWORK APPROACH, NEURAL COMPUTING & APPLICATIONS, 5(4), 1997, pp. 248-257
Authors:
MYLES AJ
MURRAY AF
WALLACE AR
BARNARD J
SMITH G
Citation: Aj. Myles et al., ESTIMATING MLP GENERALIZATION ABILITY WITHOUT A TEST SET USING FAST, APPROXIMATE LEAVE-ONE-OUT CROSS-VALIDATION, NEURAL COMPUTING & APPLICATIONS, 5(3), 1997, pp. 134-151
Citation: Wj. Staszewski et K. Worden, CLASSIFICATION OF FAULTS IN GEARBOXES - PREPROCESSING ALGORITHMS AND NEURAL NETWORKS, NEURAL COMPUTING & APPLICATIONS, 5(3), 1997, pp. 160-183
Authors:
LOWELL W
DAVIS G
LAJOUSKY W
STIEFFEL S
DAVIS G
BREAU M
HARVEY S
SHIRAZI H
Citation: W. Lowell et al., A FIELD TRIAL USING ARTIFICIAL NEURAL NETWORKS TO PREDICT PSYCHIATRICINPATIENT LENGTH-OF-STAY, NEURAL COMPUTING & APPLICATIONS, 5(3), 1997, pp. 184-193
Citation: Tws. Chow et Sy. Cho, DEVELOPMENT OF A RECURRENT SIGMA-PI NEURAL-NETWORK RAINFALL FORECASTING SYSTEM IN HONG-KONG, NEURAL COMPUTING & APPLICATIONS, 5(2), 1997, pp. 66-75
Citation: Sw. Stepniewski et Aj. Keane, PRUNING BACKPROPAGATION NEURAL NETWORKS USING MODERN STOCHASTIC OPTIMIZATION TECHNIQUES, NEURAL COMPUTING & APPLICATIONS, 5(2), 1997, pp. 76-98
Authors:
ELLIS R
SIMPSON R
CULVERHOUSE PF
PARISINI T
Citation: R. Ellis et al., COMMITTEES, COLLECTIVES AND INDIVIDUALS - EXPERT VISUAL CLASSIFICATION BY NEURAL-NETWORK, NEURAL COMPUTING & APPLICATIONS, 5(2), 1997, pp. 99-105
Citation: S. Hirsch et al., USE OF AN ARTIFICIAL NEURAL-NETWORK IN ESTIMATING PREVALENCE AND ASSESSING UNDERDIAGNOSIS OF ASTHMA, NEURAL COMPUTING & APPLICATIONS, 5(2), 1997, pp. 124-128
Citation: M. Galicki et al., NEURAL CLUSTERING NETWORKS BASED ON GLOBAL OPTIMIZATION OF PROTOTYPESIN METRIC-SPACES, NEURAL COMPUTING & APPLICATIONS, 5(1), 1997, pp. 2-13
Citation: N. Yildiz, CORRELATION STRUCTURE OF TRAINING DATA AND THE FITTING ABILITY OF BACK-PROPAGATION NETWORKS - SOME EXPERIMENTAL RESULTS, NEURAL COMPUTING & APPLICATIONS, 5(1), 1997, pp. 14-19
Citation: N. Sbirrazzuoli et D. Brunel, COMPUTATIONAL NEURAL NETWORKS FOR MAPPING CALORIMETRIC DATA - APPLICATION OF FEEDFORWARD NEURAL NETWORKS TO KINETIC-PARAMETERS DETERMINATION AND SIGNALS FILTERING, NEURAL COMPUTING & APPLICATIONS, 5(1), 1997, pp. 20-32
Citation: Rs. Bapi et al., NEURO-RESISTIVE GRID APPROACH TO TRAINABLE CONTROLLERS - A POLE BALANCING EXAMPLE, NEURAL COMPUTING & APPLICATIONS, 5(1), 1997, pp. 33-44
Citation: S. Cavalieri, A SOLUTION TO THE END-EFFECTOR POSITION OPTIMIZATION PROBLEM IN ROBOTICS USING NEURAL NETWORKS, NEURAL COMPUTING & APPLICATIONS, 5(1), 1997, pp. 45-57