Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction by Ayodele Ariyo Adebiyi, Aderemi Oluyinka Adewumi, Charles Korede Ayo

“…This paper examines the forecasting performance of ARIMA and artificial neural networks model with published stock data obtained from New York Stock Exchange. …”
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Load recognition method based on convolutional neural network and attention mechanism by ZHAO Yitao, LI Zhao, LIU Xinglong, LUO Zhao, WANG Gang, SHEN Xin

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Neural Network Backstepping Controller Design for Fractional-Order Nonlinear Systems by Youjun Chen, Songyu Wang

“…In this work, a backstepping controller design for fractional-order strict feedback systems is investigated and the neural network control method is used. It is noted that in the standard backstepping design, the fractional derivative of the virtual quantity needs to be calculated repeatedly, which will lead to a sharp increase in the number of controller terms with the increase of the system dimension and finally make the control system difficult to bear. …”
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Gender Classification Based on Iris Recognition Using Artificial Neural Networks by Basna Mohammed Salih, Adnan Mohsin Abdulazeez, Omer Mohammed Salih Hassan

Subjects: “…Gender prediction, Iris biometrics, Artificial Neural Networks, Canny Edge Detection.…”
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Neural Network Predictive Control for Autonomous Underwater Vehicle with Input Delay by Jiemei Zhao

“…A path tracking controller is designed for an autonomous underwater vehicle (AUV) with input delay based on neural network (NN) predictive control algorithm. To compensate for the time-delay in control system and realize the purpose of path tracking, a predictive control algorithm is proposed. …”
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Potato Quality Grading Based on Depth Imaging and Convolutional Neural Network by Qinghua Su, Naoshi Kondo, Dimas Firmanda Al Riza, Harshana Habaragamuwa

“…The machine learning system, which is composed of a softmax regression model and a convolutional neural network model, can grade a potato tube into six different quality levels based on tube appearance and size. …”
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Detection, Localization, and Quantification of Damage in Structures via Artificial Neural Networks by Daniele Kauctz Monteiro, Letícia Fleck Fadel Miguel, Gustavo Zeni, Tiago Becker, Giovanni Souza de Andrade, Rodrigo Rodrigues de Barros

“…This paper presents a structural health monitoring method based on artificial neural networks (ANNs) capable of detecting, locating, and quantifying damage in a single stage. …”
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Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning by Manish Sharma, Jamison Heard, Eli Saber, Panagiotis Markopoulos

Subjects: “…Convolutional neural network…”
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Existence and Uniqueness of Almost Periodic Solutions for Neural Networks with Neutral Delays by Min Xu, Zengji Du, Kaige Zhuang

“…A class of neural networks system with neutral delays is investigated. …”
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State Estimation for Standard Neural Network Models with Time-Varying Delays by Jin Zhu, Tai-Fang Li, Huanqing Wang

“…The paper deals with the issue of state estimation for standard neural network models with time-varying delays. A new augmented vector with the derivative of the state is introduced in the Lyapunov–Krasovskii functional. …”
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Enhanced Dynamic Model of Pneumatic Muscle Actuator with Elman Neural Network by Alexander Hošovský, Ján Piteľ, Kamil Židek

“…To improve the accuracy of the model, these effects are treated as a disturbance modeled using the recurrent (Elman) neural network. Recurrent neural network was preferred over feedforward type due to its better long-term prediction capabilities well suited for simulation use of the model. …”
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A PLS-SEM Neural Network Approach for Understanding Cryptocurrency Adoption by Osama Sohaib, Walayat Hussain, Muhammad Asif, Muhammad Ahmad, Manuel Mazzara

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Nonlinear Dynamics and Chaos in Fractional-Order Hopfield Neural Networks with Delay by Xia Huang, Zhen Wang, Yuxia Li

“…A fractional-order two-neuron Hopfield neural network with delay is proposed based on the classic well-known Hopfield neural networks, and further, the complex dynamical behaviors of such a network are investigated. …”
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Retracted: Swimming Training Evaluation Method Based on Convolutional Neural Network by null Complexity

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Face Alignment Algorithm Based on an Improved Cascaded Convolutional Neural Network by Xun Duan, Yuanshun Wang, Yun Wu

“…Aiming at the problem of a large number of parameters and high time complexity caused by the current deep convolutional neural network models, an improved face alignment algorithm of a cascaded convolutional neural network (CCNN) is proposed from the network structure, random perturbation factor (shake), and data scale. …”
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An Improved Multibranch Convolutional Neural Network with a Compensator for Crowd Counting by Zhiyun Zheng, Zhenhao Sun, Guanglei Zhu, Zhenfei Wang, Junfeng Wang

“…To solve the above problems, this paper proposes a new type of multibranch neural network with a compensator, in which features are extracted through multibranch subnetworks of different scales. …”
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Comparison of Neural Network Error Measures for Simulation of Slender Marine Structures by Niels H. Christiansen, Per Erlend Torbergsen Voie, Ole Winther, Jan Høgsberg

“…Training of an artificial neural network (ANN) adjusts the internal weights of the network in order to minimize a predefined error measure. …”
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Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy by Yucong You

“…Secondly, this paper designs an efficient Elman neural network topology and sends the selected important data into the neural network for data learning and neural network parameter optimization, to achieve a more accurate agricultural economic forecasting model. …”
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Uncertainty-based quantization method for stable training of binary neural networks by A.V. Trusov, D.N. Putintsev, E.E. Limonova

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Determination of the deformation modulus of binary composite using artificial neural network by E. S. Klimanova

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