Incremental Learning and Generalization Ability of Artificial Neural Network Trained by Fahlman and Lebiere's Learning Algorithm

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概要

• 論文の詳細を見る

• We apply Fahlman and Lebiere's (FL) algorithm to network synthesis and incremental learning by making use of already-trained networks, each performing a specified task, to design a system that performs a global or extended task without destroying the information gained by the previously trained nets. Investigation shows that the synthesized or expanded FL networks have generalization ability superior to Back propagation (BP) networks in which the number of newly added hidden units must be pre-specified.

• 社団法人電子情報通信学会の論文
• 1993-02-25

著者

• Kamruzzaman Joarder

  the Department of Electrical & Electronic Engineering, Bangladesh University of Engineering and Tech

• Kumagai Yukio

  the Department of Computer Science and Systems Engineering, Muroran Institute of Technology

• Kumagai Yukio

  Department Of Computer Science And Systems Engineering Muroran Institute Of Technology

• Hamamoto Masanori

  The Department Of Computer Science & Systems Engineering Muroran Institute Of Technology

• Kamruzzaman J

  Monash Univ. Aus

• Hikita Hiromitsu

  Department of Mechanical Systems Engineering, Muroran Institute of Technology

• Hikita Hiromitsu

  the Department of Mechanical Systems Engineering, Muroran Institute of Technology

• Hikita Hiromitsu

  Department Of Mechanical Systems Engineering Muroran Institute Of Technology

関連論文

• Invariant Object Recognition by Artificial Neural Network Using Fahlman and Lebiere's Learning Algorithm
• Performance Formulation and Evaluation of Associative Memory Extended to Higher Order
• Generalization Ability of Extended Cascaded Artificial Neural Network Architecture
• Comparison of Convergence Behavior and Generalization Ability in Backpropagation Learning with Linear and Sigmoid Output Units
• Robust Performance Using Cascaded Artificial Neural Network Architecture
• Incremental Learning and Generalization Ability of Artificial Neural Network Trained by Fahlman and Lebiere's Learning Algorithm

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