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ORCIDNeural Computing and Applications, Volume 1
Volume 1, Number 1, 1993
- C. J. Satchwell:
Neural Computing Applications Forum: The Birth of a Society. Neural Comput. Appl. 1(1): 2-3 (1993) - Christopher M. Bishop, Iain Strachan, John O'Rourke, Geoff Maddison, Paul Thomas:
Reconstruction of Tokamak Density Profiles Using Feedforward Networks. 4-16 - Mike Wynne-Jones:
Node Splitting: A Constructive Algorithm for Feed-Forward Neural Networks. 17-22 - G. E. Robbins, Mark D. Plumbley
, John C. Hughes, Frank Fallside, Richard W. Prager:
Generation and Adaptation of Neural Networks by Evolutionary Techniques (GANNET). 23-31 - Antonia J. Jones:
Genetic Algorithms and Their Applications to the Design of Neural Networks. 32-45 - Apostolos Nikolaos Refenes, Magali E. Azema-Barac, L. Chen, S. A. Karoussos:
Currency Exchange Rate Prediction and Neural Network Design Strategies. 46-58 - Richard G. Hoptroff:
The Principles and Practice of Time Series Forecasting and Business Modelling Using Neural Nets. 59-66 - Nicholas J. Radcliffe:
Genetic Set Recombination and Its Application to Neural Network Topology Optimisation. 67-90 - Antonia J. Jones:
The Modular Construction of Dynamic Nets. 91-95 - Simon Cumming:
Neural Networks for Monitoring of Engine Condition Data. 96-102
Volume 1, Number 2, 1993
- Eitan Michael Azoff:
Neural Network Principal Components Preprocessing and Diffraction Tomography. 107-114 - David C. Cressy, Ian T. Nabney, Adrian M. Simper:
Neural Control of a Batch Distillation. 115-123 - Thomas Fritsch, Manfred Mittler, Phuoc Tran-Gia:
Artificial Neural Net Applications In Telecommunication System. 124-146 - Gary David Kendall, Trevor J. Hall, Timothy J. Newton:
An Investigation of the Generalisation Performance of Neural Networks.Applied to Lofargram Classification. 147-159 - Abhay B. Bulsari, Seppo Palosaari:
Application of Neural Networks for System Identification of an Adsorption Column. 160-164
Volume 1, Number 3, 1993
- Jake Reynolds, Lionel Tarassenko:
Learning Pronunciation with the Visual Ear. 169-175 - William G. Baxt:
A Neural Network Trained to Identify the Presence of Myocardial Infarction Bases Diagnostic Decision on Nonlinear Relationships Between Input Variables. 176-182 - David R. Widder, Michael A. Fiddy:
High Performance Learning by Modified Error Backpropagation. 183-188 - Colin Campbell:
Neural Networks with Sign-Constrained Weights. 188-193 - Bonifacio Martín-del-Brío, Carlos Serrano-Cinca:
Self-organizing Neural Networks for the Analysis and Representation of Data: Some Financial Cases. 193-206 - Peter M. Williams:
Aeromagnetic Compensation using Neural Networks. 207-214 - Charles Y. C. Chung, Vijay R. Kumar:
Knowledge Acquisition using A Neural Network for A Weather Forecasting Knowledge-based System. 215-223 - Barry Jepson, Alan Collins, Alec Evans:
Post-Neural Network Procedure to Determine Expected Prediction Values and Their Confidence Limits. 224-228
Volume 1, Number 4, 1993
- Nicolas Sbirrazzuoli, Claude Cachet, Daniel Cabrol-Bass, Thomas P. Forrest:
Indices for the Evaluation of Neural Network Performance as Classifier: Application to Structural Elucidation in Infrared Spectroscopy. 229-239 - Eitan Michael Azoff:
Reducing Error in Neural Network Time Series Forecasting. 240-247 - Hans Henrik Thodberg:
Neural Information Processing System for Pig Carcase Grading in Danish Slaughterhouses. 248-255 - Antonia J. Jones, Donald MacFarlane:
Comparing Networks with Differing Neural-Node Functions Using Transputer-based Genetic Algorithms. 256-267 - Dimitris C. Dracopoulos, Antonia J. Jones:
Neuromodels of Analytic Dynamic Systems. 268-279 - W. Hsu, Loke-Soo Hsu, Manoel Fernando Tenorio:
Parameter Significance Estimation and Financial Prediction. 280-285
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