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Shingo Mabu: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
    Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:710-711 [Conf]
  2. Kotaro Hirasawa, Shingo Mabu, Shinji Eto, Jinglu Hu
    An approximate stability analysis of nonlinear systems described by Universal Learning Networks. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2007, v:7, n:3, pp:642-651 [Journal]
  3. Shinji Eto, Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
    Realizing Functional Localization Using Genetic Network Programming with Importance Index. [Citation Graph (0, 0)][DBLP]
    JACIII, 2006, v:10, n:4, pp:555-566 [Journal]
  4. Shingo Mabu, Kotaro Hirasawa, Yuko Matsuya, Jinglu Hu
    Genetic Network Programming for Automatic Program Generation. [Citation Graph (0, 0)][DBLP]
    JACIII, 2005, v:9, n:4, pp:430-436 [Journal]
  5. Kotaro Hirasawa, Shingo Mabu, Jinglu Hu
    Propagation and control of stochastic signals through universal learning networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:4, pp:487-499 [Journal]
  6. Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
    Genetic network programming with parallel processing for association rule mining in large and dense databases. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1512- [Conf]
  7. Karla Taboada, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
    Association rule mining for continuous attributes using genetic network programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1758- [Conf]
  8. Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon
    Effects of passenger's arrival distribution to double-deck elevator group supervisory control systems using genetic network programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1476-1483 [Conf]
  9. Yan Chen, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
    Trading rules on stock markets using genetic network programming with sarsa learning. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1503- [Conf]
  10. Shingo Mabu, Yan Chen, Kotaro Hirasawa, Jinglu Hu
    Genetic network programming with actor-critic and its application to stock trading model. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:2263- [Conf]

  11. Construction of portfolio optimization system using genetic network programming with control nodes. [Citation Graph (, )][DBLP]


  12. Stock trading strategies by genetic network programming with flag nodes. [Citation Graph (, )][DBLP]


  13. Varying portfolio construction of stocks using genetic network programming with control nodes. [Citation Graph (, )][DBLP]


  14. Double-deck elevator system using genetic network programming with genetic operators based on pheromone information. [Citation Graph (, )][DBLP]


  15. Ranking association rules for classification based on genetic network programming. [Citation Graph (, )][DBLP]


  16. Backward time related association rule mining in trafficprediction using genetic network programming withdatabase rearrangement. [Citation Graph (, )][DBLP]


  17. A double-deck elevator systems controller with idle cage assignment algorithm using genetic network programming. [Citation Graph (, )][DBLP]


  18. Pruning association rules using statistics and genetic relation algoritm. [Citation Graph (, )][DBLP]


  19. Solving Multi-Objective Optimization Problems by RasID-GA: Using an External Population in Genetic Operators. [Citation Graph (, )][DBLP]


  20. Double-Deck Elevator System Uing Genetic Network Programming with Genetic Operators Based on Pheromone Information. [Citation Graph (, )][DBLP]


  21. Optimal route of road networks by dynamic programming. [Citation Graph (, )][DBLP]


  22. Adjusting Class Association Rules from Global and Local Perspectives Based on Evolutionary Computation. [Citation Graph (, )][DBLP]


  23. A Portfolio Selection Model using Genetic Relation Algorithm and Genetic Network Programming. [Citation Graph (, )][DBLP]


  24. Evolving Plural Programs by Genetic Network Programming with Multi-Start Nodes. [Citation Graph (, )][DBLP]


  25. Network Intrusion Detection using Fuzzy Class Association Rule Mining Based on Genetic Network Programming. [Citation Graph (, )][DBLP]


  26. Fuzzy Classification Rule Minining Based on Genetic Network Programming Algorithm. [Citation Graph (, )][DBLP]


  27. Multi-Routes Algorithm using Temperature Control of Boltzmann Distribution in Q value-based Dynamic Programming. [Citation Graph (, )][DBLP]


  28. A Study on Energy Consumption of Elevator Group Supervisory Control Systems using Genetic Network Programming. [Citation Graph (, )][DBLP]


  29. Backward Time Related Association Rule mining with Database Rearrangement in Traffic Volume Prediction. [Citation Graph (, )][DBLP]


  30. Genetic network programming with learning and evolution for adapting to dynamical environments. [Citation Graph (, )][DBLP]


  31. Genetic Network Programming with control nodes. [Citation Graph (, )][DBLP]


  32. Double-deck elevator systems using Genetic Network Programming with reinforcement learning. [Citation Graph (, )][DBLP]


  33. Mining association rules from databases with continuous attributes using genetic network programming. [Citation Graph (, )][DBLP]


  34. Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming. [Citation Graph (, )][DBLP]


  35. Stock trading rules using genetic network programming with actor-critic. [Citation Graph (, )][DBLP]


  36. Double-deck Elevator Group Supervisory Control System using Genetic Network Programming with Ant Colony Optimization. [Citation Graph (, )][DBLP]


  37. Genetic network programming with sarsa learning and its application to creating stock trading rules. [Citation Graph (, )][DBLP]


  38. Class association rule mining for large and dense databases with parallel processing of genetic network programming. [Citation Graph (, )][DBLP]


  39. Genetic Network Programming based data mining method for extracting fuzzy association rules. [Citation Graph (, )][DBLP]


  40. Training of Multi-Branch Neural Networks using RasID-GA. [Citation Graph (, )][DBLP]


  41. Comparative association rules mining using Genetic Network Programming(GNP) with attributes accumulation mechanism and its application to traffic systems. [Citation Graph (, )][DBLP]


  42. Double-deck elevator systems adaptive to traffic flows using Genetic Network Programming. [Citation Graph (, )][DBLP]


  43. A personalized association rule ranking method based on semantic similarity and evolutionary computation. [Citation Graph (, )][DBLP]


  44. Real Time Updating Genetic Network Programming for adapting to the change of stock prices. [Citation Graph (, )][DBLP]


  45. Genetic Network Programming with rules. [Citation Graph (, )][DBLP]


  46. Time related association rules mining with attributes accumulation mechanism and its application to traffic prediction. [Citation Graph (, )][DBLP]


  47. Evaluating class association rules using Genetic Relation Programming. [Citation Graph (, )][DBLP]


  48. Genetic Network Programming for fuzzy association rule-based classification. [Citation Graph (, )][DBLP]


  49. Genetic Network Programming with Rule Accumulation Considering Judgment Order. [Citation Graph (, )][DBLP]


  50. Mining multi-class datasets using Genetic Relation Algorithm for rule reduction. [Citation Graph (, )][DBLP]


  51. Constructing portfolio investment strategy based on Time Adapting Genetic Network Programming. [Citation Graph (, )][DBLP]


  52. Multi-car elevator group supervisory control system using Genetic Network Programming. [Citation Graph (, )][DBLP]


  53. Generalized Time Related Sequential Association rule mining and traffic prediction. [Citation Graph (, )][DBLP]


  54. Study of multi-branch structure of Universal Learning Networks. [Citation Graph (, )][DBLP]


  55. Enhancing the generalization ability of neural networks through controlling the hidden layers. [Citation Graph (, )][DBLP]


  56. A model of portfolio optimization using time adapting genetic network programming. [Citation Graph (, )][DBLP]


  57. A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning. [Citation Graph (, )][DBLP]


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