Neural Information Processing
27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part V
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18 Result(s)
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Andrew Chi-Sing Leung
Computer Science
Artificial Intelligence
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Book and Conference Proceedings
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Article
Lagrange Programming Neural Network Approaches for Robust Time-of-Arrival Localization
There are two interesting properties in human brain. One is its massively interconnected structure. Another one is that human can handle outlier data effectively. For instance, human is able to recognize an ob...
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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
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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
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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
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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
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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 VII
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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
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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
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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.”
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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...
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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...
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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...
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Article
Editorial for Special Issue on ICONIP 2013
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Article
Decouple implementation of weight decay for recursive least square
In the conventional recursive least square (RLS) algorithm for multilayer feedforward neural networks, controlling the initial error covariance matrix can limit weight magnitude. However, the weight decay effe...
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Article
Editorial for special issue on ICONIP2010 “applications of neural information processing”
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Article
The effect of weight fault on associative networks
In the past three decades, the properties of associative networks has been extensively investigated. However, most existing results focus on the fault-free networks only. In implementation, network faults can ...
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Article
On-line Successive Synthesis of Wavelet Networks
An approach for the on-line synthesis of wavelet network using recursive least square (RLS) training is proposed. It is based on the concept of successive approximation of the system function to be learned. By...
