Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks by Thomas Nowotny, James P Turner, James C Knight

Subjects: “…spiking neural network…”
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A Speech Recognition Method Using Competitive and Selective Learning Neural Networks by Hu Guangrui Xu Xiong Yan Yonghong

“…In this paper,a basic principle called the equidistortion principle for vector clustering is theoretically derived by using Gersho’s asymptotic theory,and a new competitive learning algorithm is prorosed with a selection mechanism,called the CLS（Competitive and Selective Learning）algorithm.Because the selection mechanism enables the system to escape from local minima,the proposed algorithm can obtain better performance without a particular initialization procedure.A new neural network algorithm with competitive learning and multiple safe rejection schemes are proposed in the context of parallel,self organizing,hierarchical neural networks（PSHNN）.The input of PSHNN is a subset of the output scores of HMM.The experimental results indicate that the recognition ability of the method based on competitive learning neural network is higher than that of the traditional HMM method.…”
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The domain-general and domain-specific role of the semantic neural network in mathematical processing by Mengyi Li, Xinlin Zhou

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Operational strategies to the mechanical performance assessment of concrete with the neural network and artificial intelligence by Hadi Faghihmaleki, Mehdi Ghadiri

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A robust encrypted traffic identification scheme based on graph neural network by LI Mengxiang, PENG Chuang, WANG Hao, HUANG Chaoming, TAN Xiaobin

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RELIABILITY PREDICTION OF DRYER BASED ON IMPROVED PSO＿BP NEURAL NETWORK (MT) by WEN ChangJun, CHEN Zhe, SHAO MingYing, CHEN Li, XU Yun Fei

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Ear Biometric Identification based on Gabor Filters using Backpropagation Neural Networks by Ivano Kumaran, Muchtar Ali Setyo Yudono, Alun Sujjada

“…Based on the results of accuracy, sensitivity, and specificity testing, the ear biometric system using Gabor feature extraction and Backpropagation Neural Network classification demonstrates good performance and potential for security applications.…”
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SPICE-Level Demonstration of Unsupervised Learning With Spintronic Synapses in Spiking Neural Networks by Salah Daddinounou, Anteneh Gebregiorgis, Said Hamdioui, Elena-Ioana Vatajelu

“…Spiking Neural Networks (SNNs) are Artificial Neural Networks which promise to mimic the biological brain processing with unsupervised online learning capability for various cognitive tasks. …”
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Application of Neural Network in the Stability of Biped Robot and Embedded Control of Walking Mode by Jianrui Zhang, Zhaohui Yuan, Huan Geng, Sheng Dong, Fuli Zhang, Jingchao Li

“…This article aims to study the application of neural networks in the stability of biped robots and the embedded control of walking mode. …”
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Adaptive Control Using Neural Networks and Approximate Models for Nonlinear Dynamic Systems by Khadija El Hamidi, Mostafa Mjahed, Abdeljalil El Kari, Hassan Ayad

“…In this research, a comparative study of two recurrent neural networks, nonlinear autoregressive with exogenous input (NARX) neural network and nonlinear autoregressive moving average (NARMA-L2), and a feedforward neural network (FFNN) is performed for their ability to provide adaptive control of nonlinear systems. …”
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Forecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan by Moiz Qureshi, Khushboo Ishaq, Muhammad Daniyal, Hasnain Iftikhar, Mohd Ziaur Rehman, S. A. Atif Salar

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Research for Pedestrian Steel Bridge Design of Neural Network in Structural Model Updating by Rui Zhao, Yuhang Wu, Zehua Feng

“…A reasonable neural network structure is very important for its performance. …”
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On Global Exponential Stability of Discrete-Time Hopfield Neural Networks with Variable Delays by Qiang Zhang, Xiaopeng Wei, Jin Xu

“…Global exponential stability of a class of discrete-time Hopfield neural networks with variable delays is considered. By making use of a difference inequality, a new global exponential stability result is provided. …”
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Battery Energy Forecasting in Electric Vehicle Using Deep Residual Neural Network by Mohamad Reda A. Refaai, Jyothilal Nayak Bharothu, T. V. V. Pavan Kumar, Chodagam Srinivas, M. Sudhakar, Anirudh Bhowmick

“…TCN, a new machine learning technique, combines the advantages of residual neural networks (ResNet) with the computing efficiency of neural networks to produce a technique that is both efficient and effective. …”
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Financial production marketing prediction based on optimization GA-BP neural network by Xin JIN, Yi-an PAN, Jing WU

“…The traditional BP neural network has some application problems.For example,the network structure parameter is too dependent on experience and easy to fall into local solution.In order to improve the application defects of BP neural network model,the optimization GA-BP algorithm to optimize BP neural network topology and the selection process of network initial parameter value is proposed.In order to verify the feasibility of the model,marketing customer historical data of a bank short-term financial products as the research object is used to validate the model which could more accurately predict the customer compared with BP neural network model.The test results show that the model could be applied to analysis financial product marketing data and more accurately predict the future marketing results.…”
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Detection of weeds in vegetables using image classification neural networks and image processing by Huiping Jin, Kang Han, Kang Han, Hongting Xia, Bo Xu, Xiaojun Jin

Subjects: “…image classification neural networks…”
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Distributed Data Mining Based on Deep Neural Network for Wireless Sensor Network by Chunlin Li, Xiaofu Xie, Yuejiang Huang, Hong Wang, Changxi Niu

“…Rising to these challenges, this paper proposes a distributed data mining method based on deep neural network (DNN), by dividing the deep neural network into different layers and putting them into sensors. …”
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Prediction of Transmission Error of Cable Precision Drive based on BP Neural Network by Xie Hongwei, Tao Zhong, Zhou Xiaoguang, Hou Junzhan, Zhang Weiguo, Wang Honghao

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Randomized radial basis function neural network for solving multiscale elliptic equations by Yuhang Wu, Ziyuan Liu, Wenjun Sun, Xu Qian

Subjects: “…randomized radial basis function neural network…”
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Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm by Fuxing He

“…In this paper, we use a neural network to realize big data analysis of sports injury data. …”
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