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ORCID2nd ICANNGA 1995: Alès, France
- David W. Pearson, Nigel C. Steele, Rudolf F. Albrecht:
Artificial Neural Nets and Genetic Algorithms, ICANNGA 1995, Proceedings of the International Conference in Alès, France, 1995. Springer 1995, ISBN 978-3-211-82692-8 - David W. Pearson, Nigel C. Steele, Rudolf F. Albrecht:
Workshop Summary. 1-2 - Tom Harris:
Kohonen Neural Networks for Machine and Process Condition Monitoring. 3-4 - Bernd Schürmann:
Process Modelling and Control with Neural Networks: Present Status and Future Directions. 5 - H. Altay Güvenir:
A Genetic Algorithm for Multicriteria Inventory Classification. 6-9 - J. Schäfer, Heinrich Braun:
Optimizing Classifiers for Handwritten Digits by Genetic Algorithms. 10-13 - Philippe Collard, Cathy Escazut:
DCS: A Promising Classifier System. 14-17 - Henrik Saxén, Abhay B. Bulsari, Leif Karilainen, Kalevi Raipala:
Application of neural networks for classification of temperature distribution patterns. 18-21 - E. Stefanitsis, N. Christodoulou, John E. Psarras:
Combination of Genetic Algorithms and CLP in the Vehicle-Fleet Scheduling Problem. 22-25 - Mark C. Sinclair:
Minimum Cost Topology Optimisation of the Cost 239 European Optical Network. 26-29 - Wilhelm Erben:
Timetabling Using Genetic Algorithms. 30-32 - Yassine Djouadi:
Resolution of Cartographic Layout Problem by Means of Improved Genetic Algorithms. 33-36 - A. Kapsalis, Victor J. Rayward-Smith, G. D. Smith:
Using Genetic Algorithms to Solve the Radio Link Frequency Assignment Problem. 37-40 - George L. Rudolph, Tony R. Martinez:
A Transformation for Implementing Efficient Dynamic Backpropagation Neural Networks. 41-44 - Christophe G. Giraud-Carrier, Tony R. Martinez:
AA1*: A Dynamic Incremental Network that Learns by Discrimination. 45-48 - Raul Sidnei Wazlawick, Antônio Carlos da Rocha Costa:
Non-Supervised Sensory-Motor Agents Learning. 49-52 - Roman Neruda
:
Functional Equivalence and Genetic Learning of RBF Networks. 53-56 - Marcello Pelillo, Fabio Abbattista, Angelo Maffione:
Teaching Relaxation Labeling Processes Using Genetic Algorithms. 57-60 - Valeriu Beiu, John G. Taylor:
VLSI Optimal Neural Network Learning Algorithm. 61-64 - E. Theocharidou, Z. Burianec:
Using of Neural-Network and Expert System for Imissions Prediction. 65-68 - M. Leck, P. Bromley, D. Peel, A. M. Gerrard:
The Costing of Process Vessels Using Neural Networks. 69-71 - Petia D. Koprinkova, Marieta N. Petrova, Trayana D. Patarinska:
Neural Network Modelling of Fermentation Taking into Account Culture Memory. 72-75 - A. J. F. Coimbra, José Marino Neto, Fernando Mendes de Azevedo, C. G. Freitas, Jorge Muniz Barreto:
Brain Electrographic State Detection Using Combined Unsupervised and Supervised Neural Networks. 76-79 - Olivier Michel, Joëlle Biondi:
From the Chromosome to the Neural Network. 80-83 - Hugo de Garis:
CAM-Brain. 84-87 - Percy P. C. Yip, Yoh-Han Pao:
A Perfect Integration of Neural Networks and Evolutionary Algorithms. 88-91 - Juan Julián Merelo Guervós, Alberto Prieto:
g-lvq, a combination of genetic algorithms and lvq. 92-95 - Stephen G. Roberts, Mike Turega:
Evolving Neural Network Structures: An Evaluation of Encoding Techniques. 96-99 - Dingli Yu, Derek Nicholas Shields, Steve Daley:
Application of Radial Basis Function Networks to Fault Diagnosis for a Hydraulic System. 100-103 - Dingli Yu, Derek Nicholas Shields:
Optimally Robust Fault Diagnosis Using Genetic Algorithms. 104-107 - Francisco A. Ortega, J. B. Ordieres, César Menéndez, C. González Nicieza:
Development of a Neural-based Diagnostic System to Control the Ropes of Mining Shifts. 108-111 - Bernardete Ribeiro, Ernesto Costa, António Dourado:
Lime Kiln Fault Detection and Diagnosis by Neural Networks. 112-115 - J. MacIntyre, J. C. O'Brien:
Investigations into the Use of Wavelet Transformations as Input into Neural Networks for Condition Monitoring. 116-119 - Ernst M. Kussul, Tatyana Baidyk:
Genetic Algorithm for Neurocomputer Image Recognition. 120-123 - Bonifacio Martín-del-Brío, Nicolás J. Medrano-Marqués, Javier Blasco-Alberto:
Feature Map Architectures for Pattern Recognition: Techniques for Automatic Region Selection. 124-127 - R. Mark Rylatt, Chris A. Czarnecki, Tom W. Routen:
Adaptive Genetic Algorithms for Multi-Point Path Finding in Artificial Potential Fields. 128-131 - Stéphane Durand, Frédéric Alexandre:
Spatio-Temporal Mask Learning: Application to Speech Recognition. 132-135 - Olaf Schnelting, Bernd Michaelis, Rüdiger Mecke:
Artificial Neural Networks for Motion Estimation. 136-139 - Slawomir Skoneczny, Jaroslaw Szostakowski:
Advanced Neural Networks Methods for Recognition of Handwritten Characters. 140-143 - Phil Robbins:
The Use of a Variable Length Chromosome for Permutation Manipulation in Genetic Algorithms. 144-147 - David Reynolds, Jagannathan Gomatam:
Theoretical Bounds for Genetic Algorithms. 148-151 - Gary M. Gibson:
An Argument Against the Principle of Minimal Alphabet. 152-155 - J. Holmes, Tom W. Routen, Chris A. Czarnecki:
Heterogeneous Co-evolving Parasites. 156-159 - Cathy Escazut, Philippe Collard:
Typology of Boolean Functions Using Walsh Analysis. 160-163 - Denis Hamad, Mohamed Betrouni:
Artificial Neural Networks for Nonlinear Projection and Exploratory Data Analysis. 164-167 - Cédric Gégout, Bernard Girau, Fabrice Rossi:
Generic Back-Propagation in Arbitrary FeedForward Neural Networks. 168-171 - Uwe Hartmann:
From Prime Implicants to Modular Feedforward Networks. 172-175 - Hiroto Yoshii:
Hierarchical Backward Search Method: A New Classification Tree Using Preprocessing by Multilayer Neural Network. 176-179 - Tadeusz Kaczorek:
Adaptation Algorithms for 2-D Feedforward Neural Networks. 180-182 - Juan Manuel García Chamizo, Rosana Satorre-Cuerda, Francisco Ibarra Picó, Sergio Cuenca-Asensi:
Selecting the Best Significant Fragment to the Incremental Heteroassociative Neural Network (RHI). 183-185 - Francisco Ibarra Picó, Juan Manuel García Chamizo, Rosana Satorre-Cuerda:
An Orthogonal Neural Network with Guaranted Recall by Iterative Filters and Its Application to Texture Discrimination. 186-189 - Jean-François Remm, Frédéric Alexandre, Laurent Savy:
Automatic Radar Target Identification Using Neural Networks. 190-193 - Roman Rostár, Jaroslav Olejár:
Keystroke Dynamics Based User Authentication Using Neural Networks. 194-197 - Steve G. Romaniuk:
Application of Learning to Learn to Real-World Pattern Recognition. 198-201 - David W. Calkin, Rob M. Parkin:
Quarry Aggregates: A Flexible Inspection Method Utilising Artificial Neural Networks. 202-205 - Brigitta Lange:
An Evolution Model for Integration Problems. 206-209 - Yoshinori Uesaka:
Convergence of Algorithm and the Schema Theorem in Genetic Algorithms. 210-213 - Christian Höhn, Colin R. Reeves:
Incorporating Neighbourhood Search Operators Into Genetic Algorithms. 214-217 - Franz Oppacher, Dwight Deugo:
Automatic Change of Representation in Genetic Algorithms. 218-222 - David Noever, Subbiah Baskaran:
Dominant Takeover Regimes for Genetic Algorithms. 223-226 - Jeanine Graf:
Interactve Evolutionary Algorithms in Design. 227-230 - R. A. Bustos, Tamás D. Gedeon:
Decrypting Neural Network Data: A Gis Case Study. 231-234 - Jean-François Arcand, Sophie-Julie Pelletier:
A Framework for Creating Societies of Agents. 235-238 - S. Haring, Joost N. Kok:
Adaptive Scaling of Codebook Vectors. 239-241 - Colin R. Reeves:
Bias Estimation for Neural Network Predictions. 242-244 - A. A. Pervozvanskii:
ANN Realizations of Local Approximations Schemes. 245-248 - David W. Pearson:
Changing Network Weights by Lie Groups. 249-252 - Bruno Gas, René Natowicz:
Unsupervised Learning of Temporal Sequences by Neural Networks. 253-256 - Thomas Ankenbrand, Marco Tomassini:
Multivariate Time Series Modelling of Financial Markets with Artificial Neural Networks. 257-260 - Fa-Long Luo, Rolf Unbehauen:
Neural Network Approach to Pisarenko's Frequency Estimation. 261-264 - David H. Horrocks, Nurhan Karaboga, M. Alçi:
Rounding FIR Filter Coefficients Using Genetic Algorithms. 265-268 - Djamel Ait-Boudaoud, Radovan Cemes, S. Holloway:
Evolutionary Adaptive Filtering. 269-272 - Joanna Józefowska, Rafal Rózycki, Jan Weglarz:
A Genetic Algorithm for Some Discrete-Continuous Scheduling Problems. 273-276 - Carlos Cotta, José Francisco Aldana Montes, Antonio J. Nebro, José M. Troya:
Hybridizing Genetic Algorithms with Branch and Bound Techniques for the Resolution of the TSP. 277-280 - Vjekoslav Sinkovic, Ignac Lovrek:
Performance of Genetic Algorithm Used for Analysis of Call and Service Processing in Telecommunications. 281-284 - Sami Khuri, Martin Schütz, Jörg Heitkötter:
Evolutionary Heuristics for the Bin Packing Problem. 285-288 - Jin-Kao Hao:
A Clausal Genetic Representation and its Evolutionary Procedures for Satisfiability Problems. 289-292 - D. Koll, Martin A. Riedmiller, Heinrich Braun:
Massively Parallel Training of Multi Layer Perceptrons With Irregular Topologies. 293-296 - I. Ashman, T. Vladimirova, Chris R. Jesshope, R. Peel:
Parallel Boltzmann Machine Topologies for Simulated Annealing Realisation of Combinatorial Problems. 297-300 - A. G. Williamson, P. Munson:
Radial Basis Function Neural Networks in Credit Application Vetting Systems. 301-304 - Bernard Lemarié, Anne-Gaelle Debroise:
A Dynamical Architecture for a Radial Basis Function Network. 305-308 - Kevin Warwick, J. D. Mason, Elmawati Laksmani Sutanto:
Centre Selection for Radial Basis Function Networks. 309-312 - Klaus Langer, Freimut Bodendorf:
Flexible User-Guidance in Multimedia CBT-Applications Using Artificial Neural Networks. 313-316 - Rustam M. Vahidov, M. A. Vahidov, Z. E. Eyvazova:
Use of Genetic and Neural Technologies in Oil Equipment Computer-Aided Design. 317-320 - Lidia Fuentes, José Francisco Aldana Montes, José M. Troya:
GENESIS: An Object-Oriented Framework for Simulation of Neural Network Models. 321-324 - Björn Saxén, Henrik Saxén:
NNDT - A Neural Network Development Tool. 325-328 - Andrej Dobnikar:
Genetic Synthesis of Task-Oriented Neural Networks. 329-332 - Egbert J. W. Boers, Marko V. Borst, Ida G. Sprinkhuizen-Kuyper:
Evolving Neural Networks Using the "Baldwin Effect". 333-336 - V. B. Klepikov, K. V. Mahotilo, S. A. Sergeev:
Modification of Holland's Reproductive Plan for Diploid Populations. 337-339 - Tatiana Tambouratzis:
Simulated Annealing Artificial Neural Networks for the Satisfiability (SAT) Problem. 340-343 - Hisashi Sato, Yutaka Matsumoto, Norio Okino:
Policy Optimization by Neural Network and Its Application to Queueing Allocation Problem. 344-347 - Antti Autere:
Comparison of Genetic and Other Unconstrained Optimization Methods. 348-351 - Ilya Ioslovich, Ido Seginer:
Neural Networks for Dynamical Crop Growth Model Reduction and Optimization. 352-355 - Tommi Ojala, Petri Vuorimaa:
Modified Kohonen's Learning Laws for RBF Network. 356-359 - René Natowicz, Lothar Bergen, Bruno Gas:
Kohonen's Maps for Contour and "Region-Like" Segmentation of Gray Level and Color Images. 360-363 - Ari Hämäläinen:
Using Genetic Algorithm in Self-Organizing Map Design. 364-367 - Alessandro Sperduti, Antonina Starita:
Modular Labeling RAAM. 368-371 - Enrique Cervera, Angel P. del Pobil:
Self-Organizing Maps for Supervision in Robot Pick-And-Place Operations. 372-375 - Antonella Giani, Fabrizio Baiardi, Antonina Starita:
Q-Learning and Parallelism in Evolutionary Rule Based Systems. 376-379 - Ivanoe De Falco, Renato Del Balio, Ernesto Tarantino:
Comparing Parallel Tabu Search and Parallel Genetic Algorithms on the Task Allocation Problem. 380-383 - A. Loraschi, Marco Tomassini, Andrea Tettamanzi, Paolo Verda:
Distributed Genetic Algorithms with an Application to Portfolio Selection Problems. 384-387 - Jarmo T. Alander:
Interval arithmetic and genetic algorithms in global optimization. 388-392 - Rolf Drechsler, Bernd Becker, Nicole Göckel:
A Genetic Algorithm for Minimization of Fixed Polarity Reed-Muller Expressions. 393-395 - A. H. Abu-Alola, Norman E. Gough:
Identification and Adaptive Control of Nonlinear Processes Using Combined Neural Networks and Genetic Algorithms. 396-399 - Jarmo T. Alander, Jari Ylinen, Tapio Tyni:
Elevator group control using distributed genetic algorithm. 400-403 - Abdelmoumène Toudeft:
Neural Control of Nonlinear Non-Minimum Phase Dynamical Systems. 404-407 - Bernardete Ribeiro, António Dourado, Ernesto Costa:
Industrial Kiln Multivariable Control: MNN and RBFNN Approaches. 408-411 - A H. Jones:
Genetic Tuning of Neural Non-Linear PID Controllers. 412-415 - Marc-Noël Fauvel, Pascal Aubry:
Connectionnist Algorithm for a 3D Dense Image Building from Stereoscopy. 416-419 - Joseph Sirosh, Risto Miikkulainen:
A Unified Neural Network Model for the Self-organization of Topographic Receptive Fields and Lateral Interaction. 420-423 - Philip B. James-Roxby:
A Neural Network Implementation for a Electronic Nose. 424-427 - Gianni Jacucci, Mark Foy, Carl T. Uhrik:
Genetic Algorithms (GAs) in the Role of Intelligent Regional Adaptation Agents for Agricultural Decision Support Systems. 428-431 - Olivier C. L. Haas, Keith J. Burnham, M. H. Fisher, John A. Mills:
Genetic Algorithm Applied to Radiotherapy Treatment Planning. 432-435 - Jianmin Jiang:
An Experience Based Competitive Learning Neural Model for Data Compression. 436-439 - Ray Wyatt:
Using Neural Networks for Generic Strategic Planning. 440-443 - Alexei N. Skurikhin, Alvin J. Surkan:
Neural Network Training Compared for BACKPROP QUICKPROP and CASCOR in Energy Control Problems. 444-447 - Turgay Ibrikci, V. Krishnamurthi:
Application of Neural Network for Home Security System. 448-451 - N. H. Moin, Alan Solon Ivor Zinober, Peter John Harley:
Application of Genetic Algorithms in Sliding Mode Control Design. 452-455 - Brigitte Colnet, Stéphane Durand:
Application of Temporal Neural Networks to Source Localisation. 456-459 - Carlos A. Coello Coello, Alan D. Christiansen:
Using Genetic Algorithms for Optimal Design of Axially Loaded Non-Prismatic Columns. 460-463 - Isabelle Sarda, Anne Johannet:
Behaviour Learning by a Reward-Penalty Algorithm : From Gait Learning to Obstacle Avoidance by Neural Networks. 464-467 - Dan Ventura, Tim Andersen, Tony R. Martinez:
Using Evolutionary Computation to Generate Training Set Data for Neural Networks. 468-471 - Tatiana Tambouratzis, D. G. Tambouratzis:
Optimal Training Pattern Selection Using a Cluster-Generating Artificial Neural Network. 472-475 - Colin R. Reeves:
Training Set Selection in Neural Network Applications. 476-478 - Enrique Alba, José Francisco Aldana Montes, José M. Troya:
A Genetic Algorithm for Load Balancing in Parallel Query Evaluation for Deductive Relational Data Bases. 479-482 - Ricardo Bianchini, C. M. Brown, Michal Cierniak, Wagner Meira Jr.:
Combining Distributed Populations and Periodic Centralized Selections in Coarse-Grain Parallel Genetic Algorithms. 483-486 - Sabyasachi Ghoshray, Kang K. Yen, Jean Andrian:
Modified Genetic Algorithms by Efficient Unification with Simulated Annealing. 487-490 - Karl Kurbel, Bernd Schneider, Kirti Singh:
VLSI Standard Cell Placement by Parallel Hybrid Simulated-Annealing and Genetic Algorithm. 491-494 - Nicoletta Sangalli, Quirico Semeraro, Tullio Tolio:
Performance of Genetic Algorithms in the Solution of Permutation Flowshop Problem. 495-498 - Cristina Bazgan, Henri Luchian:
A Genetic Algorithm for the Maximal Clique Problem. 499-502 - Chee Peng Lim, Robert F. Harrison:
Minimal Error Rate Classification in a Non-stationary Environment via a Modified Fuzzy ARTMAP Network. 503-506 - Christiaan Perneel, Marc Acheroy:
Decision Making in Uncertain Environment with GA. 507-510 - Joseph Downs, Robert F. Harrison, R. Lee Kennedy, K. Woods:
The Use of Fuzzy ARTMAP to Identify Low Risk Coronary Care Patients. 511-514 - Peter Wilke, J. Rehder, G. Billing, C. Mansfeld, Jörg Nilson:
NeuroGraph - A Simulation Environment for Neural Networks, Genetic Algorithms and Fuzzy Logic. 515-518 - I. G. French, S. Ho, Adam Adgar:
Comparison of Identification Techniques for Nonlinear Systems. 519-522
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