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ORCIDNeural Computing and Applications, Volume 7
Volume 7, Number 1, 1998
- Robert Fisher, John Fulcher:
Improving the Inversion of Ionograms by Combining Neural Network and Data Fusion Techniques. 3-16 - Sushmita Mitra
, Mohua Banerjee, Sankar K. Pal:
Rough Knowledge-based Network, Fuzziness and Classification. 17-25 - Philippe De Wilde:
A Neural Network Model of a Communication Network with Information Servers. 26-36 - Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
Plastic Algorithm for Adaptive Vector Quantisation. 37-51 - Antanas Verikas, Kerstin Malmqvist, Lars Bergman, Mikael Signahl:
Colour Classification by Neural Networks in Graphic Arts. 52-64 - P. Caleb, Peter K. Sharpe:
Self Organising Maps for the Investigation of Clinical Data: A Case Study. 65-70 - Zhihong Man, Hong Ren Wu, Xinghuo Yu:
A RBF Neural Network-based Adaptive Control for SISO Linearisable Nonlinear Systems. 71-77 - Marijke F. Augusteijn, U. J. Steck:
Supervised Adaptive Clustering: A Hybrid Neural Network Clustering Algorithm. 78-89 - Y. F. Lou, Paul Brunn:
An Offset Error Compensation Method for Improving ANN Accuracy when used for Position Control of Precision Machinery. 90-95
Volume 7, Number 2, 1998
- John MacIntyre:
Editorial. 97-98 - Alan J. Soper:
A higher order Hopfield network for vector quantisation. 99-106 - Manuel Dornier, Bertrand Heyd, M. Danzart:
Evaluation of the Simplex method for training simple multilayer neural networks. 107-114 - Dimitris C. Dracopoulos:
Neural robot path planning: The maze problem. 115-120 - Henry O. Nyongesa:
Enhancing neural control systems by fuzzy logic and evolutionary reinforcement. 121-130 - Robert Sutton, Paul J. Craven:
The ANFIS approach applied to AUV autopilot design. 131-140 - Ashraf M. Abdelbar:
Achieving superior generalisation with a high order neural network. 141-146 - Joseph Downs, Robert F. Harrison, Simon S. Cross:
A decision support tool for the diagnosis of breast cancer based upon Fuzzy ARTMAP. 147-165 - T. J. Suh, Ibrahim I. Esat:
Solving large scale combinatorial optimisation problems based on a divide and conquer strategy. 166-179 - S. N. Sarbadhikari, Jayanta Basak, Sankar K. Pal, Malay K. Kundu:
Noisy fingerprints classification with directional FFT based features using MLP. 180-191 - John Pilkington:
Book reviews. 192
Volume 7, Number 3, 1998
- John MacIntyre:
Editorial. 193 - Dimitris C. Dracopoulos, Paul L. Rosin:
Guest editorial. 194 - Michael A. Sipe, David P. Casasent:
Global feature space neural network for active computer vision. 195-215 - Giacomo M. Bisio, Luigi Raffo, Silvio P. Sabatini:
Analogue VLSI primitives for perceptual tasks in machine vision. 216-228 - C.-T. Tsai, J.-H. Wang, Yung-Nien Sun:
Liver stereoscopic visualisation by using Hopfield neural nets. 229-237 - Mick Turner, Jim Austin:
Graph matching by neural relaxation. 238-248 - Alireza Khotanzad, C. Chung:
Application of multi-layer perceptron neural networks to vision problems. 249-259 - Kunihiko Fukushima, Eiji Kimura, Hayaru Shouno:
Neocognitron with improved bend-extractors: Recognition of handwritten digits in the real world. 260-272 - Teuvo Kohonen, Erkki Oja:
Visual feature analysis by the self-organising maps. 273-286
Volume 7, Number 4, 1998
- John MacIntyre:
Editorial. 287-288 - Xinghuo Yu, Zhihong Man, Monzurur Rahman:
Adaptive sliding mode approach for learning in a feedforward neural network. 289-294 - D. A. Derradji, N. Mort:
Neural network controller for a multivariable model of submarine dynamics. 295-308 - T. Tchaban, Malcolm J. Taylor, J. P. Griffin:
Establishing impacts of the inputs in a feedforward neural network. 309-317 - Bernd Freisleben, Martin Hoof, Rainer Patsch:
Using counterpropagation neural networks for partial discharge diagnosis. 318-333 - Ping Zhou, Jim Austin:
Learning criteria for training neural network classifiers. 334-342 - Amitava Datta, Swapan K. Parui:
Shape extraction: A comparative study between neural network-based and conventional techniques. 343-355 - Bernhard Sick:
On-line tool wear monitoring in turning using neural networks. 356-366 - Ruth M. Ripley, Adrian L. Harris, Lionel Tarassenko:
Neural network models for breast cancer prognosis. 367-375
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