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13 Result(s)

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  1. No Access

    Chapter and Conference Paper

    Information Optimization for Image Screening and Transmission in Aerial Detection

    In aerial detection, photoelectric sensor as the main detection form, can usually obtain a large number of image data in the detection target area, however, the communication bandwidth is often limited. As a r...

    Jieqi Li, ** Liu, Lefan Wang, Fu Kong, Zhengxue Li, Geling Yin in IoT as a Service (2021)

  2. No Access

    Chapter and Conference Paper

    A New Anti-blackout Communication Method Based on Carrier Aggregation of OFDMA and Frequency Diversity

    Aiming at the problem of communication blackout in the near-space aviation, a new anti-blackout communication method is proposed based on carrier aggregation of OFDMA and frequency diversity. The plasma sheath...

    Jieqi Li, **aoya Zuo, Yong Zhang, Zhengxue Li, Shaohui Mei… in Communications and Networking (2018)

  3. No Access

    Chapter and Conference Paper

    Bandwidth Adaptive Image Communication via Similarity Based Auto-Selection

    In image acquisition and communication systems on small or micro platforms, such as small satellite or unmanned aerial vehicle platforms, the imaging system can generate huge amount of image data while communi...

    Jieqi Li, Mingyang Ma, Yong Zhang, Zhengxue Li… in Communications and Networking (2018)

  4. No Access

    Article

    Extreme learning machine for interval neural networks

    Interval data offer a valuable way of representing the available information in complex problems where uncertainty, inaccuracy, or variability must be taken into account. Considered in this paper is the learni...

    Dakun Yang, Zhengxue Li, Wei Wu in Neural Computing and Applications (2016)

  5. No Access

    Article

    A Modified Learning Algorithm for Interval Perceptrons with Interval Weights

    In many applications, it is natural to use interval data to describe various kinds of uncertainties. This paper is concerned with a one-layer interval perceptron with the weights and the outputs being interval...

    Dakun Yang, Zhengxue Li, Yan Liu, Huisheng Zhang, Wei Wu in Neural Processing Letters (2015)

  6. No Access

    Chapter and Conference Paper

    Solving Path Planning of UAV Based on Modified Multi-Population Differential Evolution Algorithm

    In this paper we solve the path planning of Unmanned Aerial Vehicle (UAV) using differential evolution algorithm (DE). Based on traditional DE, we proposed a modified multi-population differential evolution al...

    Zhengxue Li, Jie Jia, Mingsong Cheng, Zhiwei Cui in Advances in Neural Networks – ISNN 2014 (2014)

  7. No Access

    Chapter and Conference Paper

    The Binary Output Units of Neural Network

    When solving a multi-classification problem with k kinds of samples, if we use a multiple linear perceptron, k output nodes will be widely-used. In this paper, we introduce binary output units of multiple line...

    Qilin Sun, Yan Liu, Zhengxue Li, Sibo Yang… in Advances in Neural Networks – ISNN 2013 (2013)

  8. No Access

    Chapter and Conference Paper

    Convergence Analysis for Feng’s MCA Neural Network Learning Algorithm

    The minor component analysis is widely used in many fields, such as signal processing and data analysis, so it has very important theoretical significance and practical values for the convergence analysis of t...

    Zhengxue Li, Lijia You, Mingsong Cheng in Advances in Neural Networks – ISNN 2013 (2013)

  9. No Access

    Article

    Convergence of gradient method for a fully recurrent neural network

    Recurrent neural networks have been successfully used for analysis and prediction of temporal sequences. This paper is concerned with the convergence of a gradient-descent learning algorithm for training a ful...

    Dongpo Xu, Zhengxue Li, Wei Wu in Soft Computing (2010)

  10. No Access

    Chapter and Conference Paper

    Convergence of Gradient Descent Algorithm for a Recurrent Neuron

    Probabilistic convergence results of online gradient descent algorithm have been obtained by many authors for the training of recurrent neural networks with innitely many training samples. This paper proves de...

    Dongpo Xu, Zhengxue Li, Wei Wu, **aoshuai Ding… in Advances in Neural Networks – ISNN 2007 (2007)

  11. No Access

    Chapter and Conference Paper

    Convergence of Batch BP Algorithm with Penalty for FNN Training

    Penalty methods have been commonly used to improve the generalization performance of feedforward neural networks and to control the magnitude of the network weights. Weight boundedness and convergence results ...

    Wei Wu, Hongmei Shao, Zhengxue Li in Neural Information Processing (2006)

  12. No Access

    Chapter and Conference Paper

    Convergence of an Online Gradient Method for BP Neural Networks with Stochastic Inputs

    An online gradient method for BP neural networks is presented and discussed. The input training examples are permuted stochastically in each cycle of iteration. A monotonicity and a weak convergence of determi...

    Zhengxue Li, Wei Wu, Guorui Feng, Huifang Lu in Advances in Natural Computation (2005)

  13. No Access

    Chapter and Conference Paper

    Recent Developments on Convergence of Online Gradient Methods for Neural Network Training

    A survey is presented on some recent developments on the convergence of online gradient methods for feedforward neural networks such as BP neural networks. Unlike most of the convergence results which are of p...

    Wei Wu, Zhengxue Li, Guori Feng, Naimin Zhang… in Advances in Neural Networks – ISNN 2004 (2004)