Citation: A. Tikkala et M. Juhola, A NEURAL-NETWORK SIMULATION METHOD OF APHASIC NAMING ERRORS - PROPERTIES AND BEHAVIOR, NEURAL COMPUTING & APPLICATIONS, 3(4), 1995, pp. 192-201
Citation: Gc. Vasconcelos et al., EFFICIENT DETECTION OF SPURIOUS INPUTS FOR IMPROVING THE ROBUSTNESS OF MLP NETWORKS IN PRACTICAL APPLICATIONS, NEURAL COMPUTING & APPLICATIONS, 3(4), 1995, pp. 202-212
Citation: S. Ridella et al., ADAPTIVE INTERNAL REPRESENTATION IN CIRCULAR BACKPROPAGATION NETWORKS, NEURAL COMPUTING & APPLICATIONS, 3(4), 1995, pp. 222-233
Authors:
SNOWDEN S
WEECH P
MCCLURE R
SMYE SW
DEAR PRF
Citation: S. Snowden et al., A NEURAL-NETWORK TO PREDICT ATTENDANCE OF PEDIATRIC-PATIENTS AT OUTPATIENT CLINICS, NEURAL COMPUTING & APPLICATIONS, 3(4), 1995, pp. 234-241
Authors:
KUMOLUYI A
DALTABAN TS
KONCAR N
JONES AJ
ARCHER JS
Citation: A. Kumoluyi et al., WELL RESERVOIR MODEL IDENTIFICATION USING TRANSLATION AND SCALE-INVARIANT HIGHER-ORDER NETWORKS, NEURAL COMPUTING & APPLICATIONS, 3(3), 1995, pp. 128-138
Citation: J. Blake et al., A COMPARATIVE-STUDY FOR FORECASTING USING NEURAL NETWORKS VS GENETICALLY IDENTIFIED BOX AND JENKINS MODELS, NEURAL COMPUTING & APPLICATIONS, 3(3), 1995, pp. 139-148
Citation: Zh. Man, A ROBUST ADAPTIVE TRACKING CONTROLLER USING NEURAL NETWORKS FOR A CLASS OF NONLINEAR-SYSTEMS, NEURAL COMPUTING & APPLICATIONS, 3(3), 1995, pp. 157-163
Citation: Cs. Cox et al., COST-EFFECTIVE WATER CLARIFICATION CONTROL USING A NEURALLY INFORMED CONTROL STRATEGY, NEURAL COMPUTING & APPLICATIONS, 3(3), 1995, pp. 164-170
Citation: Z. Shen et al., A NEW NEURAL-NETWORK STRUCTURE FOR DETECTION OF CORONARY HEART-DISEASE, NEURAL COMPUTING & APPLICATIONS, 3(3), 1995, pp. 171-177
Citation: Gm. Foody, TRAINING PATTERN REPLICATION AND WEIGHTED CLASS ALLOCATION IN ARTIFICIAL NEURAL-NETWORK CLASSIFICATION, NEURAL COMPUTING & APPLICATIONS, 3(3), 1995, pp. 178-190
Citation: C. Bousonocalzon et Mrw. Manning, THE HOPFIELD NEURAL-NETWORK APPLIED TO THE QUADRATIC ASSIGNMENT PROBLEM, NEURAL COMPUTING & APPLICATIONS, 3(2), 1995, pp. 64-72
Citation: A. Likas et al., DISCRETE OPTIMIZATION-BASED ON THE COMBINED USE OF REINFORCEMENT AND CONSTRAINT SATISFACTION SCHEMES, NEURAL COMPUTING & APPLICATIONS, 3(2), 1995, pp. 101-112
Citation: Mf. Augusteijn et Jm. Hill, THE GENERATION OF ANIMATED MOTION BY MEANS OF A RECURRENT NEURAL-NETWORK, NEURAL COMPUTING & APPLICATIONS, 3(1), 1995, pp. 17-26