Recurrent neural networks with transient trajectory explain working memory encoding mechanisms by Chenghao Liu, Shuncheng Jia, Hongxing Liu, Xuanle Zhao, Chengyu T. Li, Bo Xu, Tielin Zhang

“…Even though many recurrent neural networks (RNNs) have been proposed to simulate WM, most networks are designed to match respective experimental observations and show either transient or persistent activities. …”
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Claim Amount Forecasting and Pricing of Automobile Insurance Based on the BP Neural Network by Wenguang Yu, Guofeng Guan, Jingchao Li, Qi Wang, Xiaohan Xie, Yu Zhang, Yujuan Huang, Xinliang Yu, Chaoran Cui

“…The BP neural network model is a hot issue in recent academic research, and it has been successfully applied to many other fields, but few researchers apply the BP neural network model to the field of automobile insurance. …”
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Exponential Convergence for Cellular Neural Networks with Time-Varying Delays in the Leakage Terms by Zhibin Chen, Junxia Meng

“…We consider a class of cellular neural networks with time-varying delays in the leakage terms. …”
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An Inventory Controlled Supply Chain Model Based on Improved BP Neural Network by Wei He

“…Aiming at these problems, a new fast convergent BP neural network model for predicting inventory level is developed in this paper. …”
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Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems by Yilong Ju, Shah Saad Alam, Jonathan Minoff, Fabio Anselmi, Han Pu, Ankit Patel

“…Convolutional neural networks (CNNs) have been employed along with variational Monte Carlo methods for finding the ground state of quantum many-body spin systems with great success. …”
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Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming by Palika Chopra, Rajendra Kumar Sharma, Maneek Kumar

“…An effort has been made to develop concrete compressive strength prediction models with the help of two emerging data mining techniques, namely, Artificial Neural Networks (ANNs) and Genetic Programming (GP). The data for analysis and model development was collected at 28-, 56-, and 91-day curing periods through experiments conducted in the laboratory under standard controlled conditions. …”
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Complete Periodic Synchronization of Memristor-Based Neural Networks with Time-Varying Delays by Huaiqin Wu, Luying Zhang, Sanbo Ding, Xueqing Guo, Lingling Wang

“…Secondly, complete periodic synchronization is considered for memristor-based neural networks. According to the state-dependent switching feature of the memristor, the error system is divided into four cases. …”
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Modelling Hysteresis in Shape Memory Alloys Using LSTM Recurrent Neural Network by Mohammad Reza Zakerzadeh, Seyedkeivan Naseri, Payam Naseri

“…To circumvent the complexity of solving these equations, a black box neural network (NN) has been employed in this research to model a rotary actuator actuated by an SMA wire. …”
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Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks by Matheus B. Rocha, Sebastiao Pratavieira, Renan Souza Vieira, Juliana Duarte Geller, Amanda Lima Mutz Stein, Fernanda Sales Soares de Oliveira, Tania R.P. Canuto, Luciana de Paula Vieira, Renan Rossoni, Maria C.S. Santos, Patricia H.L. Frasson, Renato A. Krohling

“…In recent years, interest in applying deep learning (DL) to medical diagnosis has rapidly increased, driven primarily by the development of Convolutional Neural Networks and Transformers. Despite advancements in DL, the automated diagnosis of skin cancer remains a significant challenge. …”
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Analysis of Geometries' Effects on Rotating Stall in Vaneless Diffuser with Wavelet Neural Networks by Chuang Gao, Chuangang Gu, Tong Wang, Bo Yang

“…Wavelet neural network (WNN), which combines the capability of neural network in learning from process and that of wavelet decomposition, was used to study geometry factors on rotating stall in vaneless diffusers. …”
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Image Recommendation Algorithm Combined with Deep Neural Network Designed for Social Networks by Shaohui Du, Zhenghan Chen, Haoyan Wu, Yihong Tang, YuanQing Li

“…In recent years, deep neural networks have achieved great success in many fields, such as computer vision and natural language processing. …”
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Abstract Computation in Schizophrenia Detection through Artificial Neural Network Based Systems by L. Cardoso, F. Marins, R. Magalhães, N. Marins, T. Oliveira, H. Vicente, A. Abelha, J. Machado, J. Neves

“…Therefore, this work will focus on the development of a diagnostic support system, in terms of its knowledge representation and reasoning procedures, based on a blended of Logic Programming and Artificial Neural Networks approaches to computing, taking advantage of a novel approach to knowledge representation and reasoning, which aims to solve the problems associated in the handling (i.e., to stand for and reason) of defective information.…”
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Prediction of Crack for Drilling Process on Alumina Using Neural Network and Taguchi Method by Kingsun Lee

“…Confirmation experiments showed that neural network precisely predicted the cracking area percentage in drilling of alumina.…”
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Artificial Neural Network for Vibration Frequency Measurement Using Kinect V2 by Jiantao Liu, Xiaoxiang Yang

“…This paper presents an effective method employing the Kinect sensor V2 and an artificial neural network for vibration frequency measurement. Experiments were conducted to verify the performance of the proposed method. …”
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Compressing fully connected layers of deep neural networks using permuted features by Dara Nagaraju, Nitin Chandrachoodan

“…Abstract Modern deep neural networks typically have some fully connected layers at the final classification stages. …”
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Wind Speed Forecast Based on the LSTM Neural Network Optimized by the Firework Algorithm by Bilin Shao, Dan Song, Genqing Bian, Yu Zhao

“…Aiming at hyperparameter optimization in a combined forecasting method, a wind speed prediction model based on the long short-term memory (LSTM) neural network optimized by the firework algorithm (FWA) is proposed. …”
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Recognition of fabric composition of clothing in an image in e-commerce using neural networks by V. V. Sorokina

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Global Exponential Stability of Discrete-Time Neural Networks with Time-Varying Delays by S. Udpin, P. Niamsup

“…This paper presents some global stability criteria of discrete-time neural networks with time-varying delays. Based on a discrete-type inequality, a new global stability condition for nonlinear difference equation is derived. …”
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Atrial Fibrillation Detection by the Combination of Recurrence Complex Network and Convolution Neural Network by Xiaoling Wei, Jimin Li, Chenghao Zhang, Ming Liu, Peng Xiong, Xin Yuan, Yifei Li, Feng Lin, Xiuling Liu

“…Then, a convolution neural network is used to detect atrial fibrillation by analyzing the eigenvalues of the Recurrence Complex Network. …”
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Emei Martial Arts Promotion Model and Properties Based on Neural Network Technology by Cheng Xing, N.E. Zainal Abidin, Yudong Tang

“…In order to enhance the effectiveness of the standard recommendation algorithm, a deep neural network-based recommendation algorithm is paired with a neural network-based recommendation algorithm that is proposed in this article. …”
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