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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Degenerate r-Bell Polynomials Arising from Degenerate Normal Ordering by Taekyun Kim, Dae San Kim, Hye Kyung Kim

“…These are derived from the degenerate normal ordering of a degenerate integral power of the number operator in terms of boson operators where the degenerate r-Stirling numbers of the second kind appear as the coefficients.…”
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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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Investigation and Identification of Fungal Diseases of <i>Aloe barbadensis</i> in China by Guohui Zhang, Qingjia Wan, Xiangyang Li, Jie Deng

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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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Self-referential belief shares common neural correlates with general belief by Emily Bruns, Immanuel Scholz, Georgia Koppe, Peter Kirsch, Martin Fungisai Gerchen

“…We replicated vmPFC involvement in belief processing and found a common neural correlate for belief and self-belief in the vmPFC. …”
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Maize Fungal Growth Control with Scopoletin of Cassava Roots Produced in Benin by Rafiatou Ba, Teou Alfa, Fernand Gbaguidi, Kosi Mawuéna Novidzro, Kokouvi Dotse, Koffi Koudouvo, Ursula Houngue, Marcel T. Donou Hounsode, Kossi Honoré Koumaglo, Yaovi Ameyapoh, Lamine Baba-Moussa

“…The antifungal scopoletin extracted from the cassava root skins may be well beneficial for the fungal control of the storage of maize.…”
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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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SYNTHESIS METHODS OF ALGEBRAIC NORMAL FORM OF MANY-VALUED LOGIC FUNCTIONS by A. V. Sokolov, O. N. Zhdanov, O. A. Ayvazian

Subjects: “…algebraic normal form, many-valued logic, reed-muller transform…”
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The temporal relationship between the neural and vascular actions of kallidin within the nose by K. Rajakulasingam, L. C. K. Lau, R. Polosa, M. K. Church, S. T. Holgate, P. H. Howarth

“…These studies identify the action of K and B within the nose and differentiate the neural and vascular effects of these kinins in addition to suggesting the potential that nasal blockage and nasal microvascular leakage represent alterations in differing vascular compartments. …”
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Editorial: Neural correlates of connected speech indices in acquired neurological disorders by Georgia Angelopoulou, Dimitrios Kasselimis, Dimitrios Kasselimis, Georgios Velonakis, Dionysis Goutsos, Constantin Potagas

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Siamese Neural Networks in Unmanned Aerial Vehicle Target Tracking Process by Athraa Sabeeh Hasan Allak, Jianjun Yi, Haider M. Al-Sabbagh, Liwei Chen

Subjects: “…Siamese neural network…”
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Global stability of delayed Hopfield neural networks under dynamical thresholds by Fei-Yu Zhang, Wan-Tong Li

“…We study dynamical behavior of a class of cellular neural networks system with distributed delays under dynamical thresholds. …”
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Fungi of entomopathogenic potential in Chytridiomycota and Blastocladiomycota, and in fungal allies of the Oomycota and Microsporidia by Agata Kaczmarek, Mieczysława I. Boguś

“…They have been found to display some fungal characteristics, and phylogenetic studies suggest that they are related to fungi, either as a basal branch or sister group. …”
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