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161
Loan classification using a feed-forward neural network
Published 2024-03-01Subjects: Get full text
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162
Automated Detection of Microseismic Arrival Based on Convolutional Neural Networks
Published 2022-01-01“…A U-net model to detect the arrival time of seismic waves is constructed based on the convolutional neural network (CNN) theory. The original data for 1555 segments and synthetic data of 7764 segments were detected using Akaike’s information criterion (AIC) algorithm, the time window energy eigenvalue algorithm, and the U-net model. …”
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163
Model Error Correction in Data Assimilation by Integrating Neural Networks
Published 2019-06-01Subjects: Get full text
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164
EXCHANGE RATE DETERMINATION BY ARTIFICIAL NEURAL NETWORKS: TURKISH CASE
Published 2021-07-01Subjects: Get full text
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165
Neural network based classification of rock properties and seismic vulnerability
Published 2023-10-01Subjects: Get full text
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166
MEFET-Based CAM/TCAM for Memory-Augmented Neural Networks
Published 2024-01-01Subjects: Get full text
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167
Neural networks for illustration generation: towards the issue of adaptation practices
Published 2024-12-01Subjects: Get full text
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168
Attention aware edge-node exchange graph neural network
Published 2024-01-01Subjects: “…graph neural network…”
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169
Clinically interpretable multiclass neural network for discriminating cardiac diseases
Published 2025-01-01Subjects: Get full text
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170
Knowledge‐Informed Deep Neural Networks for Solar Flare Forecasting
Published 2022-08-01“…By integrating prior knowledge in flare production into the convolutional neural network (CNN) structures, we have developed a knowledge‐informed deep neural network model aiming at forecasting solar flares. …”
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171
Retracted: Computer Medical Image Segmentation Based on Neural Network
Published 2020-01-01“…The nonlinear quantified cellular neural network proposed in this article can reduce LUT resource consumption by 74% and energy of 48.2%. …”
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172
Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks
Published 2019-01-01“…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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173
Water quality assessment for aquaculture using deep neural network
Published 2025-01-01Subjects: “…Deep neural networks…”
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174
Efficient Neural Network Modeling for Flight and Space Dynamics Simulation
Published 2011-01-01“…This paper represents an efficient technique for neural network modeling of flight and space dynamics simulation. …”
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175
Solar Energy Prediction for Malaysia Using Artificial Neural Networks
Published 2012-01-01“…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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176
Deep Neural Network Model Forecasting for Financial and Economic Market
Published 2022-01-01“…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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177
Exploiting Neural-Network Statistics for Low-Power DNN Inference
Published 2024-01-01Subjects: Get full text
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178
Pretraining Convolutional Neural Networks for Image-Based Vehicle Classification
Published 2018-01-01“…In this paper, an approach based on convolutional neural networks (CNNs) has been applied for vehicle classification. …”
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179
Predicting species distributions in the open ocean with convolutional neural networks
Published 2024-09-01“…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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180
Synchronization of Chaotic Delayed Neural Networks via Impulsive Control
Published 2014-01-01“…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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