Suchergebnisse - Softmax and Sparse Autoencoder

A Sparse Autoencoder and Softmax Regression Based Diagnosis Method for the Attachment on the Blades of Marine Current Turbine von Zheng, Yilai, Wang, Tianzhen, Xin, Bin, Xie, Tao, Wang, Yide

“… This paper proposes a diagnosis method based on the sparse autoencoder (SA) and softmax regression (SR …”
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Breast Cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression von Kadam, Vinod Jagannath, Jadhav, Shivajirao Manikrao, Vijayakumar, K.

“… Many researchers proposed numerous methods for early prediction of this Cancer. In this paper, we proposed feature ensemble learning based on Sparse Autoencoders …”
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Toward Robust Fault Identification of Complex Industrial Processes Using Stacked Sparse-Denoising Autoencoder With Softmax Classifier von Liu, Jinping, Xu, Longcheng, Xie, Yongfang, Ma, Tianyu, Wang, Jie, Tang, Zhaohui, Gui, Weihua, Yin, Huazhan, Jahanshahi, Hadi

“… This article proposes a robust end-to-end deep learning-induced fault recognition scheme by stacking multiple sparse-denoising autoencoders with a Softmax classifier, called stacked spare-denoising autoencoder (SSDAE …”
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Softmax regression based deep sparse autoencoder network for facial emotion recognition in human-robot interaction von Chen, Luefeng, Zhou, Mengtian, Su, Wanjuan, Wu, Min, She, Jinhua, Hirota, Kaoru

“… Meanwhile, Softmax regression (SR) is used to classify expression feature. In this paper, Softmax regression-based deep sparse autoencoder network (SRDSAN …”
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Materials Identification of Polarized Pulse Laser Detection based on Sparse Autoencoder and Softmax Classifier Framework von Xu, Xiaobin, Wu, Jialin, Wang, Jiali, Qu, Qinyang, Tan, Zhiying, Luo, Minzhou

“… In this paper, materials identification of polarized pulsed laser detection system is conducted by sparse autoencoder (SAE …”
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Network Intrusion Detection System Using Deep Learning Method with KDD Cup'99 Dataset von Tanimu, Jesse Jeremiah, Hamada, Mohamed, Robert, Patience, Mahendran, Anand

“… This work is a deep sparse autoencoder network intrusion detection system which addresses the issue of interpretability of L2 regularization technique used in other works …”
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Integrating Enhanced Sparse Autoencoder-Based Artificial Neural Network Technique and Softmax Regression for Medical Diagnosis von Ebiaredoh-Mienye, Sarah A., Esenogho, Ebenezer, Swart, Theo G.

“… an enhanced sparse autoencoder (SAE) and Softmax regression, respectively. In the SAE network, sparsity is achieved by penalizing the weights of the network …”
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Deep network approach with stacked sparse autoencoders in detection of DDoS attacks on SDN-based VANET von Polat, Huseyin, Turkoglu, Muammer, Polat, Onur

“… In this study, the stacked sparse autoencoder (SSAE) + Softmax classifier deep network model is proposed to detect DDoS attacks targeting SDN-based VANETs …”
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Blade imbalanced fault diagnosis for marine current turbine based on sparse autoencoder and softmax regression von Wen, Pingping, Wang, Tianzhen, Xin, Bin, Tang, Tianhao, Wang, Yide

“… A diagnosis method combining the modified sparse autoencoder (SA) and softmax regression (SR) is applied to process images and detect the imbalanced fault on the blade of MCT …”
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Breath analysis based early gastric cancer classification from deep stacked sparse autoencoder neural network von Aslam, Muhammad Aqeel, Xue, Cuili, Chen, Yunsheng, Zhang, Amin, Liu, Manhua, Wang, Kan, Cui, Daxiang

“… In this study, we proposed a new method for feature extraction using a stacked sparse autoencoder to extract the discriminative features from the unlabeled data of breath samples …”
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Improved Heart Disease Prediction Using Particle Swarm Optimization Based Stacked Sparse Autoencoder von Mienye, Ibomoiye Domor, Sun, Yanxia

“… The network consists of multiple sparse autoencoders and a softmax classifier. Additionally, in deep learning models …”
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Hyperspectral image classification using k-sparse denoising autoencoder and spectral–restricted spatial characteristics von Lan, Rushi, Li, Zeya, Liu, Zhenbing, Gu, Tianlong, Luo, Xiaonan

“… This paper proposes a novel k-sparse denoising autoencoder (KDAE) with a softmax classifier for HSI classification …”
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Deep Neural Network for Automatic Classification of Pathological Voice Signals von Chen, Lili, Chen, Junjiang

“… The constructed DNN consists a two-layer stacked sparse autoencoders network and a softmax layer …”
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Computer-aided classification of prostate cancer grade groups from MRI images using texture features and stacked sparse autoencoder von Abraham, Bejoy, Nair, Madhu S.

“… •Achieved moderate success in classification of 4 grade groups.•The method uses stacked sparse autoencoders (SSAE …”
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Three-Category Classification of Magnetic Resonance Hearing Loss Images Based on Deep Autoencoder von Jia, Wenjuan, Yang, Ming, Wang, Shui-Hua

“… In the stage of deep autoencoder, we use stacked sparse autoencoder to generate visual features, and softmax layer to classify the different brain images into three categories of hearing loss …”
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Identification of Partial Discharge Defects Based on Deep Learning Method von Duan, Lian, Hu, Jun, Zhao, Gen, Chen, Kunjin, He, Jinliang, Wang, Shan X.

“… Two basic parts of this DL framework are sparse autoencoder layer and softmax layer, the former extracting …”
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Automatic modulation classification of digital modulation signals with stacked autoencoders von Ali, Afan, Yangyu, Fan, Liu, Shu

“… Modulation identification of the transmitted signals remain a challenging area in modern intelligent communication systems like cognitive radios. The …”
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Fault Detection and Identification in an Acid Gas Removal Unit Using Deep Autoencoders von Kathlyn, Tan Kaiyun, Zabiri, Haslinda, Aldrich, Chris, Liu, Xiu, Mohd Amiruddin, Ahmad Azharuddin Azhari

“… ; however, they are the least studied in the open literature. Hence, in this paper, shallow and deep sparse autoencoders with SoftMax layers are investigated to facilitate early detection of these three faults before any significant financial loss …”
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Stacked Sparse Autoencoder (SSAE) based framework for nuclei patch classification on breast cancer histopathology von Jun Xu, Lei Xiang, Renlong Hang, Jianzhong Wu

“… Softmax, and single layer Sparse Autoencoder (SAE)+Softmax in classifying the nuclei and non-nuclei patches extracted from breast cancer histopathology. The SSAE …”
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Radar HRRP target recognition based on stacked denosing sparse autoencoder von Tai, Guangxing, Wang, Yanhua, Li, Yang, Hong, Wei

“… An end-to-end radar high-resolution range profile recognition method is proposed based on stacked denosing sparse autoencoder which stacks several denosing sparse autoencoders and uses softmax as the classifier …”
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