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ORCID4th ICANNGA 1999: Portorož, Slovenia
- Andrej Dobnikar, Nigel C. Steele, David W. Pearson, Rudolf F. Albrecht:
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, ICANNGA 1999, Portorož, Slovenia, 1999. Springer 1999, ISBN 978-3-211-83364-3 - Rudolf F. Albrecht:
Topological Approach to Fuzzy Sets and Fuzzy Logic. 1-7 - Kevin Warwick:
Linking Human Neural Processes Directly with Technology - The Future? 8-13 - Hojjat Adeli:
Neural Dynamic Model for Optimization of Complex Systems. 14-15 - David McLean, Zuhair Bandar:
Comparative Testing of Hyper-Planar Classifiers on Continuous Data Domains. 16-21 - Dan Ventura, Tony R. Martinez:
A Quantum Associative Memory Based on Grover's Algorithm. 22-27 - Alexis Quesada-Arencibia
, Miguel Alemán-Flores, Roberto Moreno-Díaz:
Newton Filters: a New Class of Neuron-Like Discrete Filters and an Application to Image Processing. 28-34 - David McLean, Zuhair Bandar, Jim O'Shea:
Improving Generalisation Using Modular Neural Networks. 35-39 - Roberto Moreno-Díaz, Alexis Quesada-Arencibia:
The Role and Modelling of Presynaptic Inhibition in the Visual Pathway: Applications in Image Processing. 40-45 - Michael Fairbank, Andrew Tuson:
A Curvature Primal Sketch Neural Network Recognition System. 46-51 - Frantisek Hakl, Marcel Jirina:
Using GMDH Neural Net and Neural Net With Switching Units to Find Rare Particles. 52-58 - Fa-Long Luo, Rolf Unbehauen, Tertulien Ndjountche:
A Neural Network Based Nonlinear Temporal-Spatial Noise Rejection System. 59-66 - Xinchuan Zeng, Tony R. Martinez:
Improving the Performance of the Hopfield Network By Using A Relaxation Rate. 67-72 - Xinchuan Zeng, Tony R. Martinez:
A New Activation Function in the Hopfield Network for Solving Optimization Problems. 73-77 - Horst Bischof, Ales Leonardis:
On-line Learning of Object Representations. 78-85 - Henrik Saxén, Leif Lassus:
A neural network model for blast furnace wall temperature pattern classification. 86-88 - N. Costa, António Gaspar-Cunha, Bernardete Ribeiro:
Monitoring an Industrial Plastic Injection Moulding Machine Using Neural Networks. 89-94 - Ricardo Riaza, Pedro J. Zufiria:
Rates of Learning in Gradient and Genetic Training of Recurrent Neural Networks. 95-99 - Pedro J. Zufiria:
Influence of the Learning Gain on the Dynamics of Oja's Neural Network. 100-106 - Michael Korkin, Hugo de Garis, Norberto Eiji Nawa, William Dee Rieken:
ATR's Artificial Brain Project: CAM-Brain Machine (CBM) and Robot Kitten (Robokoneko) Issues. 107-110 - Jihene Elmalek, Rached Tourki:
A Speaker Independent Arabic Isolated Spoken Digits Recognition System Using Fuzzy Kohonen Clustering Network. 111-115 - D. Orski:
Control of Complex of Parallel Operations Using Neural Network. 116-120 - Uros Lotric, Andrej Dobnikar:
Using Smoothing Splines in Time Series Prediction with Neural Networks. 121-126 - Isamu Kajitani, Masahiro Murakawa, Nobuki Kajihara, Masaya Iwata, Hidenori Sakanashi, Tetsuya Higuchi:
Evolvable Hardware Chips for Neural Network Applications. 127-134 - Nigel Steele, Elena I. Gaura, Richard J. Rider:
Direct Inverse Control of Sensors by Neural Networks for Static/Low Frequency Applications. 135-140 - F. Scheibel, Nigel C. Steele, R. Low:
Centre and Variance Selection for Gaussian Radial Basis Function Artificial Neural Networks. 141-147 - Miran Kokol, Igor Grabec:
Minimum Square-Error Modeling of the Probability Density Function. 148-154 - Igor Grabec:
Adaptation of NN Complexity to Empirical Information. 155-160 - Branko Ster, Andrej Dobnikar:
The RBF Neural Network in Approximate Dynamic Programming. 161-165 - Mira Trebar, Andrej Dobnikar:
Adaptive Modularity and Time-Series Prediction. 166-171 - Marcello Sanguineti, Katerina Hlavácková-Schindler:
Some Comparisons Between Linear Approximation and Approximation by Neural Networks. 172-177 - A. Simões, Ernesto Costa:
Transposition: A Biological-Inspired Mechanism to Use with Genetic Algorithms. 178-186 - Zuhair Bandar, H. Al-Attar, Keeley A. Crockett:
Genetic Algorithms For Decision Tree Induction. 187-190 - Keeley A. Crockett, Zuhair Bandar, Akeel Al-Attar:
Optimising Decision Classifications Using Genetic Algorithms. 191-195 - Gordan Jezic, Robert Kostelac, Ignac Lovrek, Vjekoslav Sinkovic:
Scheduling Tasks with Non-negligible Intertask Communication onto Multiprocessors by using Genetic Algorithms. 196-201 - Andrew Webb, B. C. H. Turton, John M. Brown:
Design of Robust Networks of Specific Topologies using a Genetic Algorithm. 202-207 - Colin R. Reeves, Ping Dai:
The Effect of Degenerate Coding on Genetic Algorithms. 208-213 - Lamine Ngom, Claude Baron, André Cabarbaye, Jean Claude Geffroy, Linda Tomasini:
Genetic algorithms for the identification of the generalised Erlang laws parameters used in systems dependability studies. 214-219 - Tatiana Kalganova, Gordon Russell, Andrew Cumming:
Multiple Traffic Signal Control Using A Genetic Algorithm. 220-228 - Somnuk Phon-Amnuaisuk, Andrew Tuson, Geraint A. Wiggins:
Evolving Musical Harmonisation. 229-234 - Kalyanmoy Deb, Samir Agrawal:
A Niched-Penalty Approach for Constraint Handling in Genetic Algorithms. 235-243 - Márton E. Balázs:
A Genetic Algorithm with Dynamic Population Size. 244-247 - Justin Gan, Kevin Warwick:
A Genetic Algorithm with Dynamic Niche Clustering for Multimodal Function Optimisation. 248-255 - Subbiah Baskaran, David Noever:
Time and Size Limited Harvesting Models of Genetic Algorithm. 256-261 - Jason Morrison, Franz Oppacher:
A General Model of Co-evolution for Genetic Algorithms. 262-268 - Primoz Potocnik, Igor Grabec:
Selection of Informative Inputs Using Genetic Algorithms. 269-273 - Thomas Villmann, Reiner Haupt, Klaus Hering, Hendrik Schulze:
Parallel Evolutionary Algorithms with SOM-Like Migration and their Application to Real World Data Sets. 274-279 - Martin J. Oates, David Corne, Roger J. Loader:
Skewed Crossover and the Dynamic Distributed Database Problem. 280-287 - K. Hasegawa, M. Hattori:
Improved Pseudo-Relaxation Learning Algorithm for Robust Bidirectional Associative Memory. 288-293 - Vili Podgorelec, Peter Kokol:
Self-Adaptation of Evolutionary Constructed Decision Trees by Information Spreading. 294-301 - D. Lock, Christophe G. Giraud-Carrier:
Evolutionary Programming of Near-Optimal Neural Networks. 302-306 - J. Dávila:
Exploring the Relationship between Neural Network Topology and Optimal Training Set by Means of Genetic Algorithms. 307-311 - Benyamin Kusumoputro:
Development of Fuzzy Learning Vector Quantization Neural Network for Artificial Odor Discrimination System. 312-316 - David William Pearson, Gérard Dray:
Differential Inclusions Mapping Simplexes to Simplexes. 317-319 - Stevo Bozinovski:
Crossbar Adaptive Array: The first connectionist network that solved the delayed reinforcement learning problem. 320-325 - Bogdan Filipic:
An Evolutionary Algorithm for a Non-standard Scheduling Problem. 326-330 - Claire Julia Kennedy, Christophe G. Giraud-Carrier:
An Evolutionary Approach to Concept Learning with Structured Data. 331-336 - Rob Shipman:
Genetic Redundancy: Desirable or Problematic for Evolutionary Adaptation? 337-344 - Andrej Dobnikar, A. Likar, S. Vavpotic:
Dynamic Systems Modelling with Evolving Cellular Automata. 345-352
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