Mixture of Experts of ANN and KNN on the problem of Puzzle 8

نویسندگان

  • Guiwen Hou
  • Jingyue Zhang
  • Jiahong Zhou
چکیده

In this project we present a heuristic learning process by training ANN (artificial neural network) and KNN (k-nearest neighbor) using the best number of steps, gained from A*, from randomly generated states to the goal. After training ANN and KNN, the mixture of Experts is discussed and the empirical data are collected to demonstrate the feasibility and accuracy of combination of ANN and KNN in different areas. In our project, we present a novel method to combination of ANN and KNN by using the confidences. In order to achieve this goal, different approaches are adopted to converge the ANN.

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تاریخ انتشار 2002