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兰州理工大学 [2]

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北京航空航天大学 [1]

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	Remarnet: Conjoint relation and margin learning for small-sample image classification 期刊论文 IEEE Transactions on Circuits and Systems for Video Technology, 2021, 卷号: 31, 期号: 4, 页码: 1569-1579 作者: Li, Xiaoxu; Yu, Liyun; Yang, Xiaochen; Ma, Zhanyu; Xue, Jing-Hao 收藏 \| 浏览/下载：9/0 \| 提交时间：2021/06/03 Deep learning Image classification Sampling Classification mechanism Competitive performance Discriminative features Discriminative power Fully connected networks Novel neural network State-of-the-art methods State-of-the-art performance
	Fine-Grained Vehicle Classification with Channel Max Pooling Modified CNNs 期刊论文 IEEE Transactions on Vehicular Technology, 2019, 卷号: 68, 期号: 4, 页码: 3224-3233 作者: Ma, Zhanyu; Chang, Dongliang; Xie, Jiyang; Ding, Yifeng; Wen, Shaoguo 收藏 \| 浏览/下载：15/0 \| 提交时间：2020/11/14 Backpropagation algorithms Convolution Feature extraction Motivation Neural networks Vehicles channel pooling Classification accuracy Competitive performance Convolutional neural network Discriminative features Fine grained State-of-the-art methods Vehicle classification
	A Fuzzy Adaptive Binary Global Learning Colonization-MLP model for Body Fat Prediction 其他 2019-01-01 作者: Keivanian, Farshid; Chiong, Raymond; Hu, Zhongyi 收藏 \| 浏览/下载：15/0 \| 提交时间：2019/12/05 Body Fat Prediction Artificial Neural Networks Feature Selection Imperialist Competitive Algorithm Fuzzy Inference System
	A novel deep convolutional neural network for spectral-spatial classification of hyperspectral data 会议论文 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 作者: Li, N.; Wang, C.; Zhao, H.; Gong, X.; Wang, D. 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 Convolution Deep neural networks Extraction Feature extraction Image processing Independent component analysis Neural networks Remote sensing Spectroscopy Competitive performance Deep CNN Deep convolutional neural networks Generalization ability Hyper-spectral classification Hyperspectral Data Hyperspectral remote sensing Spectral-spatial classification Classification (of information)
	Global stability analysis of competitive neural networks with mixed time-varying delays and discontinuous neuron activations 期刊论文 Neurocomputing, 2015, 卷号: 152, 期号: Volume 152, 页码: 85-96 作者: Wang, Yanqun; Huang, Lihong* 收藏 \| 浏览/下载：1/0 \| 提交时间：2019/12/24 Competitive neural networks Mixed time-varying delays Discontinuous activation Global exponential stability Convergence in finite time
	Global stability analysis of competitive neural networks with mixed time-varying delays and discontinuous neuron activations. 期刊论文 Neurocomputing, 2015, 卷号: Vol.152, 页码: 85-96 作者: Wang, YQ; Huang, LH 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/31 Competitive neural networks Convergence in finite time Discontinuous activation Global exponential stability Mixed time-varying delays
	Global dynamics of equilibrium point for delayed competitive neural networks with different time scales and discontinuous activations 期刊论文 Neurocomputing, 2014, 卷号: Vol.123, 页码: 318-327 作者: Duan, Lian; Huang, Lihong 收藏 \| 浏览/下载：1/0 \| 提交时间：2019/12/31 Delayed competitive neural networks Discontinuous neuron activations Equilibrium point Global dynamics Different time scales
	A new method based on the CLM of the LV RNN for brain MR image segmentation 期刊论文 Digital Signal Processing, 2012, 卷号: Vol.22 No.3, 页码: 497-505 作者: Bochuan Zheng; Zhang Yi 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/03/26 Magnetic resonance imaging Image segmentation Competitive layer model Lotka–Volterra recurrent neural networks Feature binding
	Short-term electricity prices forecasting based on support vector regression and Auto-regressive integrated moving average modeling 期刊论文 ENERGY CONVERSION AND MANAGEMENT, 2010, 卷号: 51, 期号: 10, 页码: 1911-1917 作者: Che, JX; Wang, JZ 收藏 \| 浏览/下载：2/0 \| 提交时间：2015/12/16 Support vector regression ARIMA Artificial neural networks Price forecasting Competitive market
	Foundations of Implementing the Competitive Layer Model by Lotka--Volterra Recurrent Neural Networks. 期刊论文 IEEE Transactions on Neural Networks, 2010, 卷号: Vol.21 No.3, 页码: 494-507 作者: Zhang Yi 收藏 \| 浏览/下载：1/0 \| 提交时间：2019/03/26 Competitive layer model (CLM) convergence energy functions Lotka--Volterra recurrent neural networks (LV RNNs) minimum points stable attractors

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