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(82)   

• Experiments on Brood Size in GP with Brood Recombination Crossover for Object Recognition
  Mengjie Zhang and Xiaoying Gao and Minh Duc Cao CS-TR-06-6. Computer Science, Victoria University of Wellington, New Zealand, (2006)
  to Classification, Document Baysian programming, Links genetic algorithms, Networks, Citation by brazovayeye on Jun 19, 2008, 5:46 PM
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• A Domain-independent Window approach to Multiclass Object Detection using Genetic Programming
  Mengjie Zhang and Victor B. Ciesielski and Peter Andreae EURASIP Journal on Applied Signal Processing2003(8):841--859July2003. Special Issue on Genetic and Evolutionary Computation for Signal Processing and Image Analysis .
  to computer vision neural object machine networks, learning, programming, genetic detection, target algorithms, recognition, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Genetic Programming for Multiple Class Object Detection
  Mengjie Zhang and Victor Ciesielski 12th Australian Joint Conference on Artificial Intelligence, volume1747ofLNAI, page180--192. Sydney, Australia, Springer-Verlag, 6-10 December1999.
  to Neural programming, Machine Vision genetic algorithms, networks, learning, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• Proceedings of the 2000 Congress on Evolutionary Computation CEC00
  La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, 6-9 July2000.
  to agents, intelligent controlling control, neural design, classifiers, search, foundations, time medical hardware, search techniques, evolutionary processing systems control games information modelling, scheduling, ecological image optimization, modelling evolving like ec, and breast system biological cancer, fitness, record, coevolution, hybrid systems, devices robotic novel applications, dynamic series processing, cultural theory constraint signal tasks, engineering network ec revisiting programming, algorithms, parallel multi-objective developement markets, spaces, the evolvable game learning networks, research image/ new multi-agent paradigms, modeling/ stroganoff, genetic modeling representations, fossil handling, ecosystems, operations local themes, design by brazovayeye on Jun 19, 2008, 5:46 PM
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• Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000)
  Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer (eds.). Las Vegas, Nevada, USA, Morgan Kaufmann, 10-12 July2000.
  to agents, computing, data mining, neural strategies, scheduling hardware, programming, evolutionary algorithms, ant robotics, adaptive life, optimization, evolvable molecular networks, evolution genetic colony DNA classifier systems, artificial by brazovayeye on Jun 19, 2008, 5:46 PM
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• Fixation of Neutral Alleles in Spatially Structured Populations via Genetic Drift: Describing the spatial structure of faster-than-panmictic configurations
  Peter A. Whigham and Grant Dick The 17th Annual Colloquium of the Spatial Information Research Centre SIRC 2005, page81--90. University of Otago, Dunedin, New Zealand, November 24th-25th2005.
  to populations, programming, allele genetic fixation, algorithms, neutral networks, panmictic hyperfixation drift, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Genetic Programming for Proactive Aggregation Protocols
  Thomas Weise and Kurt Geihs and Philipp Andreas Baer Proceedings of Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Part I, volume4431ofLecture Notes in Computer Science, page167--173. Warsaw University of Technology, Warsaw, Poland, Springer Berlin Heidelberg New York, April~11-14,2007. see http://icannga07.ee.pw.edu.pl/ and http://www.springerlink.com/content/978-3-540-71590-0/ .
  to programming, Symbolic Proactive Sensor genetic Protocols, Regression DGPF, Aggregation algorithms, Networks, Aggregation, by brazovayeye and 2 other people on Jun 19, 2008, 5:46 PM
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• Bankruptcy prediction with neural logic networks by means of grammar-guided genetic programming
  Athanasios Tsakonas and George Dounias and Michael Doumpos and Constantin Zopounidis Expert Systems With Applications30(3):449--461April2006. Intelligent Information Systems for Financial Engineering .
  to Neural Cellular programming, genetic encoding Grammar-Guided Bankruptcy, algorithms, networks, logic by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• A comparison of classification accuracy of four genetic programming-evolved intelligent structures
  Athanasios Tsakonas Information Sciences176(6):691--72422 March2006.
  to trees, Context-free neural grammars, networks, Petri-nets programming, Decision genetic Artificial rule-based algorithms, systems, Fuzzy by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• An evolutionary system for neural logic networks using genetic programming and indirect encoding
  Athanasios Tsakonas and Vasilios Aggelis and Ioannis Karkazis and Georgios Dounias Journal of Applied Logic2(3):349--379(2004)
  to encoding, Grammar-guided Cardiac diagnosis, diagnosis networks, disease logic connectionist Cellular Coronary Neural programming, Symbolic genetic SPECT algorithms, systems, artery by brazovayeye on Jun 19, 2008, 5:46 PM
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• The Structure of the Genetic Programming Collaboration Network
  Marco Tomassini and L. Luthi and M. Giacobini and W. B. Langdon Genetic Programming and Evolvable Machines8(1):97--103March2007.
  to communities programming, social genetic collaboration, scientific algorithms, networks, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• Compositional pattern producing networks: A novel abstraction of development
  Kenneth O. Stanley Genetic Programming and Evolvable Machines8(2):131--162June2007. Special issue on developmental systems .
  to Complexity, encoding, Representation, Producing CPPN evolvable Generative Developmental Indirect genetic Artificial art, Pattern embryogeny, hardware,Evolutionary algorithms, systems, Networks, computation, Compositional by brazovayeye and 2 other people on Jun 19, 2008, 5:46 PM
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• Automation of the analysis of Mossbauer spectra
  Paulo A. de Souza Jr. and R. Garg and Vijayendra Kumar Garg Hyperfine Interactions(1998)
  to M{\"{o}}ssbauer logic, genetic fuzzy neural algorithms, networks, spectroscopy by brazovayeye on Jun 19, 2008, 5:46 PM
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• Automation in Mössbauer Spectroscopy Data Analysis
  Paulo A. de Souza Jr. Laboratory Robotics and Automation11(1):3--23(1999)
  to logic, genetic fuzzy neural algorithms, networks, spectroscopy Mossbauer by brazovayeye on Jun 19, 2008, 5:46 PM
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• Statistical analysis of intelligent classifier on breast cancer data
  I. Rojas and O. Valenzuela and L. Marquez and Pasadas Pasadas WSEAS ICOPES-ICOSSE-AMCOS-ISCOCO, page6. New York, USA, December~27-292003.
  to Statistical Neural programming, genetic algorithms, networks, analysis Genetic Fuzzy, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Genetic programming neural networks: A powerful bioinformatics tool for human genetics
  Marylyn D. Ritchie and Alison A. Motsinger and William S. Bush and Christopher S. Coffey and Jason H. Moore Applied Soft Computing7(1):471--479January2007.
  to ANN, Neural programming, genetic Gene-gene algorithms, Bioinformatics, networks, interactions Epistasis, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• Unravelling and forecasting algal population dynamics in two lakes different in morphometry and eutrophication by neural and evolutionary computation
  Friedrich Recknagel and Hongqing Cao and Bomchul Kim and Noriko Takamura and Amber Welk Ecological Informatics1(2):133--151April2006.
  to series modelling, Diatoms, Soyang, neural Kasumigaura, networks, Hybrid supervised Recurrent Ordination, Time programming, genetic Clustering, evolutionary Non-supervised Forecasting algorithms, artificial Cyanobacteria, Lake by brazovayeye on Jun 19, 2008, 5:46 PM
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• Adaptive Learning of Polynomial Networks Genetic Programming, Backpropagation and Bayesian Methods
  Nikolay Nikolaev and Hitoshi Iba Genetic and Evolutionary Computation Springer, (2006) June .
  to time-series Bayesian adaptive prediction inference, networks, learning, backpropagation, intelligence, programming, genetic evolutionary algorithms, artificial computation, polynomial by brazovayeye on Jun 19, 2008, 5:46 PM
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• Machine-learning paradigms for selecting ecologically significant input variables
  Nitin Muttil and Kwok-Wing Chau Engineering Applications of Artificial Intelligence(2007) Viewpoint, Article in Press .
  to Hong modelling, Red Harmful neural tides, Harbour, Kong algal networks, Tolo Water Data-driven blooms, programming, genetic techniques, Artificial quality algorithms, models, Machine-learning by brazovayeye on Jun 19, 2008, 5:46 PM
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• Neural network and genetic programming for modelling coastal algal blooms
  Nitin Muttil and Kwok-Wing Chau International Journal of Environment and Pollution28(3/4):223--2386 November2006.
  to water harmful Hong modelling, biomass, neural algal learning networks, machine simulation pollution, environmental blooms, programming, genetic techniques, quality Kong, algorithms, artificial by brazovayeye on Jun 19, 2008, 5:46 PM
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