KES 1997: Adelaide, South Australia

Knowledge-based intelligent systems: present and future directions

• A. Martin Wildberger:
  Autonomous adaptive agents for distributed control of the electric power grid in a competitive electric power industry. 2-11
  
• Walter J. Freeman:
  A biologically derived model for perception to serve as an interface between an intelligent system and its environments. 12-19
  
• Clarence W. de Silva:
  Application of fuzzy logic and approximate reasoning in process automation. 20-26
  
• Rajiv Khosla, Tharam S. Dillon:
  Fusion of knowledge-based systems and neural networks and applications. 27-44
  

Applications of AI in machine perception and robot control

• Andreas Dengel, Frank Dubiel:
  Selecting distinctive attributes for concept learning. 46-53
  
• Thien M. Ha, Guido Kaufmann, Matthias Zimmermann, Horst Bunke:
  Handwriting recognition for a postal check reading system. 54-63
  
• Adrian R. Pearce, Terry M. Caelli:
  Schematic interpretation and the CLARET consolidated learning algorithm. 64-71
  
• Brendan McCane, Terry M. Caelli:
  Multi-scale adaptive segmentation using edge and region based attributes. 72-80
  
• Henrik I. Christensen, Paolo Pirjanian:
  Theoretical methods for planning and control in mobile robotics. 81-86
  
• Ta-Hsiung Hung, Hung-Ching Lu:
  Robot arm controller using fuzzy speech recognition. 87-93
  

Applications of fuzzy logic / chaos engineering

• Toshihiko Yokogawa:
  Representations of game situations in fuzzy oriented GO system (FOG). 95-100
  
• Masayoshi Naito, Naoki Tanaka, Hiroshi Okamoto:
  Distinguishing chaos from random fractal sequences by the comparison of forward and backward predictions: utilization of the difference in time reversal symmetry of time series. 101-107
  
• T. Miyano, T. Oasa, Tadashi Iokibe, S. Murata, T. Tanimura:
  Degrees of visible determinism in observational sequences as a mechanical signature of automobile components. 108-111
  
• Kazuhiro Ozawa, T. Watanabe, Masayasu Kanke:
  Fuzzy auto-regressive model and its applications. 112-117
  
• Toru Yamaguchi, Naoki Kohata, Y. Wakamatsu, Takanobu Baba:
  Evolutionary parallel computation on welfare intelligent agent. 118-125
  
• Tadashi Iokibe, M. Koyama, M. Taniguchi:
  Industrial applications of short-term prediction on chaotic time series by local fuzzy reconstruction method. 126-130
  

Neural networks and genetic algorithms in pattern recognition

• W. L. Goh, Dinesh P. Mital, Haroon A. Babri:
  An artificial neural network approach to handwriting recognition. 132-136
  
• Zheng Li, Han Wang:
  Robust matching in real-time 3D model-based tracking. 137-141
  
• Dinesh P. Mital, Eam Khwang Teoh:
  An automated matching technique for fingerprint identification. 142-147
  
• Y. Hattori, Takeshi Furuhashi, Yoshiki Uchikawa:
  Multi-module network associating patterns and symbols with attention mechanism. 148-153
  
• Yoshinori Arai, G. Sekiguchi, Kaoru Hirota:
  Fuzzy hierarchical car-model pattern recognition system using fixation feedback. 154-158
  
• Kim Le:
  A proposed model of human consciousness system with applications in pattern recognition. 159-166
  

Fuzzy control applications

• H. Takahashi:
  Subjective evaluation-based feedback vehicle control. 168-173
  
• T. Tani, S. Mishima, K. Nakane, N. Saito, T. Asagao:
  Fuzzy control system applied to pump start in a petroleum plant. 174-180
  
• N. Wakami, K. Mizutani, M. Kataoka, T. Imanaka:
  Fuzzy intelligent information processing in home appliances. 181-185
  
• Hung-Ching Lu:
  Fuzzy neural network for fuzzy modeling and control. 186-192
  
• Thomas Doersam, T. Fischer:
  Aspects of controlling a multifingered gripper. 193-199
  

Dedicated hardware and/or hybrid learning

• Horia-Nicolai L. Teodorescu, Cristian Bonciu:
  Learning algorithm for RBF networks as features extractors. 201-208
  
• M. Russo:
  FuGeNeSys: Sw and Hw implementation. 209-218
  
• Riccardo Caponetto, M. Lavorgna, A. Martinez, Luigi Occhipinti:
  GAs for fuzzy modeling of noise pollution. 219-223
  
• Guiseppe V. Russo, Domenico Lo Presti, S. Panebanco, Catia Petta, Nunzio Randazzo, S. Reito, C. Caligiore, Marco Russo, Massimo Masetti, Enzo Gandolfi, Alessandro Gabrielli:
  Applying fuzzy techniques to particle detectors. 224-228
  
• Luigi Occhipinti, G. Nunnari:
  A new FARMA model for on-line linguistic description and interpretation of seismic waveform in volcanic areas. 229-234
  
• A. Sachenko:
  Intelligent electronic system on DSN basis. 235-241
  

Neural networks, genetic algorithms and multimedia

• Han Wang, Stan Z. Li, S. Ragupathi:
  Document segmentation and classification with top-down approach. 243-247
  
• Shankar M. Krishnan, S. Swaminathan:
  Application of intelligent multimedia system in an automation-intensive production line. 248-254
  
• Chua Hong Chuck, Chin Teck Chai, Tan Gim Chua:
  A structured approach for routing of MCMs. 255-259
  
• Chin Teck Chai, Chua Hong Chuek, D. P. Mital, Tan Thiam Huat:
  Time series modelling and forecasting using genetic algorithms. 260-268
  
• J. Y. T. Ang, Hee King Jim:
  A multimedia interactive environment: a front-end module for modeling and simulation. 269-273
  
• P. C. K. Hiang, Sevki S. Erdogan, Geok See Ng:
  Hidden node activation differential-a new neural network relevancy criteria. 274-281
  

System design using genetic algorithms

• Seiichi Matsushita, Takeshi Furuhashi, Hiroaki Tsutsui, Yoshiki Uchikawa:
  Efficient fuzzy modeling and evaluation criteria. 283-288
  
• Shinobu Ohtani, Hiroaki Kikuchi, Ronald R. Yager, Shohachiro Nakanishi:
  Fuzzy system identification for composite operation and fuzzy relation by genetic algorithms. 289-295
  
• K. Aoki, H. Takagi:
  3-D CG lighting with an interactive GA. 296-301
  
• SeongHoon Lee, Tae-Won Kang, Myung-Sook Ko, Kwang-Sik Chung, Joon-Min Gil, Chong-Sun Hwang:
  A genetic algorithm method for sender-based dynamic load balancing algorithm in distributed systems. 302-307
  
• Esa Koskimäki, Janne Göös:
  Electric machine dimensioning by global optimization. 308-312
  
• Hirokazu Watabe:
  A study on evolutional shape modeling: parameter tuning. 313-319
  

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