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    Article

    Two noise tolerant incremental learning algorithms for single layer feed-forward neural networks

    This paper focuses on noise resistant incremental learning algorithms for single layer feed-forward neural networks (SLFNNs). In a physical implementation of a well trained neural network, faults or noise are ...

    Muideen Adegoke, Hiu Tung Wong in Journal of Ambient Intelligence and Humani… (2023)

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    Book and Conference Proceedings

    Neural Information Processing

    25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13–16, 2018, Proceedings, Part III

    Long Cheng, Andrew Chi Sing Leung in Lecture Notes in Computer Science (2018)

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    Book and Conference Proceedings

    Neural Information Processing

    25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13–16, 2018, Proceedings, Part II

    Long Cheng, Andrew Chi Sing Leung in Lecture Notes in Computer Science (2018)

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    Book and Conference Proceedings

    Neural Information Processing

    25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part IV

    Long Cheng, Andrew Chi Sing Leung in Lecture Notes in Computer Science (2018)

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    Book and Conference Proceedings

    Neural Information Processing

    25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part I

    Long Cheng, Andrew Chi Sing Leung in Lecture Notes in Computer Science (2018)

  6. No Access

    Book and Conference Proceedings

    Neural Information Processing

    25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13–16, 2018, Proceedings, Part VII

    Long Cheng, Andrew Chi Sing Leung in Lecture Notes in Computer Science (2018)

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    Book and Conference Proceedings

    Neural Information Processing

    25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13–16, 2018, Proceedings, Part VI

    Long Cheng, Andrew Chi Sing Leung in Lecture Notes in Computer Science (2018)

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    Book and Conference Proceedings

    Neural Information Processing

    25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13–16, 2018, Proceedings, Part V

    Long Cheng, Andrew Chi Sing Leung in Lecture Notes in Computer Science (2018)

  9. Chapter and Conference Paper

    Correction to: Neural Information Processing

    In the originally published version of chapters 21 and 33 the name of the author **hua Sheng was incorrectly spelled as “**ghua Sheng.” It was corrected to “**hua Sheng.”

    Long Cheng, Andrew Chi Sing Leung, Seiichi Ozawa in Neural Information Processing (2018)

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    Chapter and Conference Paper

    Fault-Resistant Algorithms for Single Layer Neural Networks

    Incremental extreme learning machine (IELM), convex incremental extreme learning machine (C-IELM) and other variants of extreme learning machine (ELM) algorithms provide low computational complexity techniques...

    Muideen Adegoke, Andrew Chi Sing Leung, John Sum in Neural Information Processing (2018)

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    Chapter and Conference Paper

    A Robust LPNN Technique for Target Localization Under Hybrid TOA/AOA Measurements

    This paper presents an approach based on the Lagrange programming neural network (LPNN) framework for target localization under the outlier situation. The problem is formulated as a minimization problem of the...

    Muideen Adegoke, Andrew Chi Sing Leung, John Sum in Neural Information Processing (2018)

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    Chapter and Conference Paper

    MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers

    In the implementation of a neural network, some imperfect issues, such as precision error and thermal noise, always exist. They can be modeled as multiplicative noise. This paper studies the problem of trainin...

    Hao Wang, Andrew Chi Sing Leung, John Sum in Neural Information Processing (2018)