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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 ...
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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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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
Complete (anti-)synchronization of chaotic systems with fully uncertain parameters by adaptive control
This paper addresses a unified mathematical expression describing a class of chaotic systems, for which the problem of synchronization and anti-synchronization between different chaotic systems with fully unce...
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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...