Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks by Chong Chen, Zhixia Ding

“…This paper investigates projective synchronization of nonidentical fractional-order memristive neural networks (NFMNN) via sliding mode controller. Firstly, based on the sliding mode control theory, a new fractional-order integral sliding mode controller is designed to ensure the occurrence of sliding motion. …”
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Water quality assessment for aquaculture using deep neural network by Rajeshwarrao Arabelli, T. Bernatin, Venkataramana Veeramsetty

Subjects: “…Deep neural networks…”
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Efficient Neural Network Modeling for Flight and Space Dynamics Simulation by Ayman Hamdy Kassem

“…This paper represents an efficient technique for neural network modeling of flight and space dynamics simulation. …”
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Solar Energy Prediction for Malaysia Using Artificial Neural Networks by Tamer Khatib, Azah Mohamed, K. Sopian, M. Mahmoud

“…This paper presents a solar energy prediction method using artificial neural networks (ANNs). An ANN predicts a clearness index that is used to calculate global and diffuse solar irradiations. …”
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Deep Neural Network Model Forecasting for Financial and Economic Market by Fan Chen

“…In view of the Internet financial market dynamic (volume and daily trading), it is proposed based on a deep neural network for fusion level time series prediction model. …”
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Exploiting Neural-Network Statistics for Low-Power DNN Inference by Lennart Bamberg, Ardalan Najafi, Alberto Garcia-Ortiz

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Pretraining Convolutional Neural Networks for Image-Based Vehicle Classification by Yunfei Han, Tonghai Jiang, Yupeng Ma, Chunxiang Xu

“…In this paper, an approach based on convolutional neural networks (CNNs) has been applied for vehicle classification. …”
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Predicting species distributions in the open ocean with convolutional neural networks by Morand, Gaétan, Joly, Alexis, Rouyer, Tristan, Lorieul, Titouan, Barde, Julien

“…In this study, we propose a new method that leverages deep learning, specifically convolutional neural networks (CNNs), to capture spatial features of environmental variables. …”
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Synchronization of Chaotic Delayed Neural Networks via Impulsive Control by Yang Fang, Kang Yan, Kelin Li

“…This paper is concerned with the impulsive synchronization problem of chaotic delayed neural networks. By employing Lyapunov stability theorem, impulsive control theory and linear matrix inequality (LMI) technique, several new sufficient conditions ensuring the asymptotically synchronization for coupled chaotic delayed neural networks are derived. …”
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Stability of Impulsive Neural Networks with Time-Varying and Distributed Delays by Qi Luo, Xinjie Miao, Qian Wei, Zhengxin Zhou

“…This work is devoted to investigating the stability of impulsive cellular neural networks with time-varying and distributed delays. …”
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An Artificial Neural Network-Based Comprehensive Solar Photovoltaic Emulator by Kalaimohan Thankanadar Saraswathi, Parassuram Arumugam, Gurunandh V. Swaminathan, Somasundaram Periasamy

“…Thus, in this paper, a PVE with the ability to mimic both uniformly irradiated and partially shaded PV panels is proposed by employing artificial neural network (ANN) and piecewise-linearization technique. …”
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Dog recognition in public places based on convolutional neural network by Jianquan Ouyang, Hao He, Yi He, Huanrong Tang

“…In view of this, we propose a novel algorithm that combines dense–scale invariant feature transform and convolutional neural network to solve dog recognition problems in public places. …”
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Automated mechanical ventilator design and analysis using neural network by S. Hariharan, Hemalatha Karnan, D. Uma Maheswari

“…The hyperparameters are tuned using a low intricate feed-forward neural network (FFNN). The trained features serve as input to the sensors present in the mimicked lung model. …”
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SPECTRUMNET: Cooperative Spectrum Monitoring Using Deep Neural Networks by M. Suriya, M. G. Sumithra

“…A hybrid deep learning model called SPECTRUMNET (spectrum sensing using deep neural network) is presented. It can quickly and accurately monitor the spectrum from spectrogram images by utilizing cyclostationary features and convolutional neural networks (CNN). …”
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AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK by LAWRENCE OMOTOSHO, IBRAHIM OGUNDOYIN, OLAJIDE ADEBAYO, JOSHUA OYENIYI

Subjects: “…multimodal, biometric system, convolutional neural network…”
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Intelligent Turning Tool Monitoring with Neural Network Adaptive Learning by Maohua Du, Peixin Wang, Junhua Wang, Zheng Cheng, Shensong Wang

“…This tool monitoring system has neural network adaptive learning ability with the change of the experimental sample signals which are collected simultaneously by selected vibration and acoustic emission (AE) sensors in all factors turning experiments. …”
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Node Classification on The Citation Network Using Graph Neural Network by Irani Hoeronis, Bambang Riyanto Trilaksono

Subjects: “…graph neural network…”
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Chaotic Hopfield Neural Network Swarm Optimization and Its Application by Yanxia Sun, Zenghui Wang, Barend Jacobus van Wyk

“…A new neural network based optimization algorithm is proposed. …”
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Automated Stellar Spectra Classification with Ensemble Convolutional Neural Network by Zhuang Zhao, Jiyu Wei, Bin Jiang

“…We designed six classifiers which consist six different convolutional neural networks (CNN), respectively, to recognize the spectra in DR16. …”
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Predicting Students’ Final Performance Using Artificial Neural Networks by Tarik Ahajjam, Mohammed Moutaib, Haidar Aissa, Mourad Azrour, Yousef Farhaoui, Mohammed Fattah

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