The Problem of Adaptation of the Generalized Neural Element by E. V. Konovalov

“…It combines properties of the neuron-oscillator and the neuron-detector. The problem of adaptation of the generalized neural element is formulated and solved.…”
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Synchronization Problems of Fuzzy Competitive Neural Networks by Lingping Zhang, Feng Duan, Bo Du

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Evolutionary Dendritic Neural Model for Classification Problems by Xiaoxiao Qian, Cheng Tang, Yuki Todo, Qiuzhen Lin, Junkai Ji

“…In this paper, an evolutionary dendritic neuron model (EDNM) is proposed to solve classification problems. It utilizes synapses and dendritic branches to implement the nonlinear computation. …”
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CLASS IMBALANCE PROBLEM IN ANTI-FRAUD PROBLEM: METRICS, SAMPLING AND CONVOLUTIONAL NEURAL NETWORKS by Ruslan Ch. Bobonazarov

“…In the concluding part of the study, an approach using convolutional neural networks for the task of fraud detection is proposed, which achieved a PR AUC score of 0.91, significantly surpassing the results of all traditional approaches.…”
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Multimodal Neural Networks in the Problem of Captioning Images in Newspapers by Patryk Kaszuba

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Usage of Neural Networks for Solving Applied Logic Problems by Ju. O. German, O. V. German

“…The article deals with heuristic neural network-based solver for NP-hard problems (determining the (in)consistency of a system of logical equations). …”
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Problems and Prospects for the Application of Neural Networks for the Sphere of Education by T. M. Shamsutdinova

“…In order to study the possibilities and problems of applying neural network models to the tasks of constructing student adaptive learning trajectories, a model example of a neural network was created. …”
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Methodologies for Improved Optimisation of the Derivative Order and Neural Network Parameters in Neural FDE Models by Cecília Coelho, M. Fernanda P. Costa, Oliver Niggemann, Luís L. Ferrás

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COMPARATIVE ANALYSIS OF NEURAL NETWORK MODELS FOR THE PROBLEM OF SPEAKER RECOGNITION by Vladyslav Kholiev, Olesia Barkovska

“…   The subject matter of the article are the neural network models designed or adapted for the problem of voice analysis in the context of the speaker identification and verification tasks. …”
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PROBLEMS OF USING NEURAL NETWORKS TO PREDICT THE PRICE OF VIRTUAL ASSETS by Andrii Tsemko, Maxym Matskiv

“…Predicting the prices of virtual assets is an important task due to their high volatility. Neural networks are widely used for such tasks, but often face the problem of naive predictions, when the next value is too similar to the previous one, which reduces the forecasting efficiency. …”
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Performance Guarantees of Recurrent Neural Networks for the Subset Sum Problem by Zengkai Wang, Weizhi Liao, Youzhen Jin, Zijia Wang

Subjects: “…subset sum problem…”
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A geometric approach for accelerating neural networks designed for classification problems by Mohsen Saffar, Ahmad Kalhor, Ali Habibnia

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Quantum Neural Networks for Solving Power System Transient Simulation Problem by Mohammadreza Soltaninia, Junpeng Zhan

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Prospects for the use of artificial neural networks for problem solving in clinical transplantation by R. M. Kurabekova, A. A. Belchenkov, O. P. Shevchenko

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Designing the sinc neural networks to solve the fractional optimal control problem by R. Heydari Dastjerdi, G. Ahmadi

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THE SOLUTION OF THE APPROXIMATION PROBLEM OF NONLINEAR DEPENDANCES USING ARTIFICIAL NEURAL NETWORKS by V. N. Ageyev

“…The paper discusses issues connected with the use of an artificial neural network (ANN) to approximate the experimental data. …”
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Stepped annealing chaotic neural network model for the channel assignment problem by ZHU Xiao-jin, CHEN Yan-chun, SHAO Yong, WANG Jian

“…Based on the stepped annealing method used in transient chaotic neural network,a chaotic neural network model had been improved. …”
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Benchmark problems for physics-informed neural networks: The Allen–Cahn equation by Hyun Geun Lee, Youngjin Hwang, Yunjae Nam, Sangkwon Kim, Junseok Kim

Subjects: “…benchmark problems…”
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Problem Solver Model of Intelligent Framework for the Development of Artificial Neural Networks by M. V. Kovalev

Subjects: “…artificial neural network…”
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Adjusting Neural Network to a Particular Problem: Neural Network-Based Empirical Biological Model for Chlorophyll Concentration in the Upper Ocean by Vladimir Krasnopolsky, Sudhir Nadiga, Avichal Mehra, Eric Bayler

“…The versatility of the neural network (NN) technique allows it to be successfully applied in many fields of science and to a great variety of problems. …”
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