08:30 Welcome Desk & Registration (08:30 - 09:00)
09:00
09:00 - 10:50 - Room Dijon Parallel Session 5
  • 49: INDIVIDUALLY AND COLLECTIVELY TREATED NEURONS AND ITS APPLICATION TO SOM Ryotaro Kamimura
  • 87: SEMI-SUPERVISED K-WAY SPECTRAL CLUSTERING USING PAIRWISE CONSTRAINTS Guillaume Wacquet, Pierre-Alexandre Hébert, Émilie Caillault Poisson and Denis Hamad
  • 26: LEARNING METHOD UTILIZING SINGULAR REGION OF MULTILAYER PERCEPTRON Ryohei Nakano, Seiya Satoh and Takayuki Ohwaki
  • 43: HAMILTONIAN NEURAL NETWORK-BASED ORTHOGONAL FILTERS - A Basis for Artificial Intelligence Wieslaw Citko and Wieslaw Sienko
09:00 - 10:50 - Room Toulouse Parallel Session 5a
  • 17: CRITICAL BOUNDARY VECTOR CONCEPT IN NEAREST NEIGHBOR CLASSIFIERS USING K-MEANS CENTERS FOR EFFICIENT TEMPLATE REDUCTION Wenjun Xia and Tadashi Shibata
  • 47: ADDRESSING THE HARDWARE RESOURCE REQUIREMENTS OF NETWORK-ON-CHIP BASED NEURAL ARCHITECTURES Sandeep Pande, Fearghal Morgan, Seamus Cowley, Brian Mc Ginley, Jim Harkin, Snaider Carrillo and Liam Mc Daid
  • 80: DEVELOPING COMBINED FORECASTING MODELS IN OIL INDUSTRY - A Case Study in Opec Oil Demand Seyed Hamid Khodadad Hosseini, Adel Azar, Ali Rajabzadeh Ghatari and Arash Bahrammirzaee
  • 88: RELIABLE MODELLING AND OPTIMISATION CONTROL OF REACTIVE POLYMER COMPOSITE MOULDING PROCESSES USING BOOTSTRAP AGGREGATED NEURAL NETWORK MODELS Jie Zhang and Nikos G. Pantelelis
10:50 Coffee-Break (10:50 - 11:05)
10:50
10:50 - 11:30 - Room Marseille Posters Session 2
  • 15: CONSTRUCTION AND ANALYSIS OF AN ARTIFICIAL NEURONAL NETWORK USING A NEURON-COLLECTING, MICRO-PATTERNING METHOD BASED ON A MULTI-ELECTRODE ARRAY SYSTEM Hideyuki Terazono, Hyonchol Kim, Masahito Hayashi, Akihiro Hattori, Hiroyuki Takei and Kenji Yasuda
  • 30: EFFECT OF CORRELATION BETWEEN CLINICAL TESTS ON THE PERFORMANCE OF A MULTIPLE TEST-BASED DIAGNOSTIC SYSTEM - Study with a Logistic Model and Neural Nets Noriaki Ikeda, Kai Ishida, Harukazu Tsuruta and Akihiro Takeuchi
  • 54: IDENTIFICATION OF CORRELATED PATTERNS BY VECTOR PERCEPTRON WITH BINARIZED SYNAPTIC COEFFICIENTS Vladimir Kryzhanovskiy
  • 56: SIX NECESSARY QUALITIES OF SELF-LEARNING SYSTEMS - A Short Brainstorming Gabriele Peters
  • 68: A STATE-SPACE NEURAL NETWORK FOR MODELING DYNAMICAL NONLINEAR SYSTEMS Karima Amoura, Patrice Wira and Said Djennoune
  • 74: MODELING OF ABRASIVE WATER JET MACHINING USING TAGUCHI METHOD AND ARTIFICIAL NEURAL NETWORKS Menelaos Pappas, Ioannis Ntziantzias, John Kechagias and Nikolaos Vaxevanidis
  • 84: USING CO-EXISTING ATTRACTORS OF A SENSORIMOTOR LOOP FOR THE MOTION CONTROL OF A HUMANOID ROBOT Matthias Kubisch, Benjamin Werner and Manfred Hild
  • 112: THE PERILS OF IGNORING DATA SUITABILITY - The Suitability of Data used to Train Neural Networks Deserves More Attention Kevin Swingler
11:30
11:30 - 12:30 - Room Paris Awareness Computing: What, Why, and How? Keynote Speaker: Qiangfu ZHAO
12:30 Lunch (12:30 - 14:30)
14:30
14:30 - 16:15 - Room Dijon Parallel Session 6
  • 41: MULTI-REGULARIZATION PARAMETERS ESTIMATION FOR GAUSSIAN MIXTURE CLASSIFIER BASED ON MDL PRINCIPLE Xiuling Zhou, Ping Guo and C. L. Philip Chen
  • 42: IMPROVED REVISION OF RANKING FUNCTIONS FOR THE GENERALIZATION OF BELIEF IN THE CONTEXT OF UNOBSERVED VARIABLES Klaus Häming and Gabriele Peters
  • 57: AIRCRAFT CLASSIFICATION AND NOISE MAP ESTIMATION BASED ON REAL-TIME MEASUREMENTS OF TAKE-OFF NOISE Luis Pastor Sanchez Fernandez, Luis A. Sanchez Perez and Marco A. Moreno Ibarra
  • 90: A MOVIE RECOMMENDER SYSTEM BASED ON ENSEMBLE OF TRANSDUCTIVE SVM CLASSIFIERS Aristomenis S. Lampropoulos, Paraskevi S. Lampropoulou and George A. Tsihrintzis
16:15 Coffee-Break (16:15 - 16:30)
16:30
16:30 - 17:30 - Room Dijon Parallel Session 7
  • 64: LEARNING FROM BIOFEEDBACK - Patient-specific Games for Neuromuscular Rehabilitation Ouriel Barzilay and Alon Wolf
  • 81: IMPORTANCE OF INPUT PARAMETER SELECTION FOR SYNTHETIC STREAMFLOW GENERATION OF DIFFERENT TIME STEP USING ANN TECHNIQUES Maya Rajnarayn Ray and Arup Kumar Sarma
  • 99: USING THE GNG-M ALGORITHM TO DEAL WITH THE PROBLEM OF CATASTROPHIC FORGETTING IN INCREMENTAL MODELLING Héctor F. Satizábal M. and Andres Perez-Uriibe
17:30
17:30 - 18:30 - Room Paris Autonomous Learning Machines: Generating Rules from Data Streams Keynote Speaker: Plamen Angelov
18:30
18:30 - 18:45 - Room Paris Closing Session
18:45 Farewell Drink (18:45 - 19:15)