Model Modification of the Mill Transmission System Based on the PSO-BP Neural Network by Tao Zheng, Bao Xianle, Guo Qintao, Zhou Tianyang

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Efficient Lane Detection Technique Based on Lightweight Attention Deep Neural Network by Zhiting Yao, Xiyuan Chen

“…This paper proposed an improved attention deep neural network (DNN), a lightweight semantic segmentation architecture catering for efficient computation in low memory, which contains two branches worked in different resolution. …”
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Hourly Forecasting of Solar Photovoltaic Power in Pakistan Using Recurrent Neural Networks by Sohrab Khan, Faheemullah Shaikh, Mokhi Maan Siddiqui, Tanweer Hussain, Laveet Kumar, Afroza Nahar

“…This paper suggests recurrent neural networks (RNNs) as the best-performing forecasting model for PV power output. …”
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Finite-Time Synchronization for Complex-Valued Recurrent Neural Networks with Time Delays by Ziye Zhang, Xiaoping Liu, Chong Lin, Bing Chen

“…This paper focuses on the finite-time synchronization analysis for complex-valued recurrent neural networks with time delays. First, two kinds of common activation functions appearing in the existing references are combined together and more general assumptions are given. …”
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Gender and Handedness Prediction from Offline Handwriting Using Convolutional Neural Networks by Ángel Morera, Ángel Sánchez, José Francisco Vélez, Ana Belén Moreno

“…Our solution is based on convolutional neural networks since these models had proven better capabilities to extract good features when compared to hand-crafted ones. …”
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Research on the graphical convolution neural network based benefits recommendation system strategy by Tao TAO, Zhen LI, Jibin WANG, Haiyong XU, Yong JIANG, Zhuo CEHN, Runbo ZHANG, Qingyuan HU

Subjects: “…graph convolutional neural network…”
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Recognizing Cow Muzzle Patterns using the Convolution Neural Network (CNN) Algorithm by Sulthon Zamroni, Giri Wahyu Wiriasto, Bulkis Kanata

“…This research aims to develop a cattle muzzle identification system using convolutional neural networks method with Alexnet architecture and to identify the factors that can decrease the accuracy of prediction results. …”
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Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network by Guimei Yin, Jie Yuan, Yanjun Chen, Guangxing Guo, Dongli Shi, Lin Wang, Zilong Zhao, Yanli Zhao, Manjie Zhang, Yuan Dong, Bin Wang, Shuping Tan

Subjects: “…Graph convolutional neural network…”
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Fuzzy Neural Network-Based Evaluation Algorithm for Ice and Snow Tourism Competitiveness by Ying Zhao, Qinghua Zhu, Jiujun Bai

“…Based on the construction of cloud fuzzy neural network model, the above method is used for experimental comparison analysis, and experiments are conducted through University of California Irvine (UCI) dataset and engineering examples to compare with the traditional cloud model, fuzzy neural network, and BP neural network to analyze the operation efficiency, accuracy rate, and several rules of the algorithm. …”
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Biologically plausible gated recurrent neural networks for working memory and learning-to-learn. by Alexandra R van den Berg, Pieter R Roelfsema, Sander M Bohte

“…While meta-learning can be implemented in recurrent neural networks, these networks tend to be trained with architectures that are not easily interpretable or mappable to the brain and with learning rules that are biologically implausible. …”
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Construction of Cognitive Model of Family Education Decision-Making Based on Neural Network by Wenwen Yao, Ying Zhen, Yu Zhang

“…This paper constructs a cognitive model of family training decision-making principally based totally on neural network. Through the assessment of relevant data, they have an effect of the cognitive model of family coaching decision-making mainly based totally on neural neighborhood evaluated from the accuracy, root suggest rectangular error RMSE, and AUC curve. …”
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Improved AHP Model and Neural Network for Consumer Finance Credit Risk Assessment by Yafeng Xi, Qiu Li

“…The data are input into the AHP-LSTM neural network, and the index data are fused with the AHP so as to obtain the risk level and serve as the expected output of the LSTM neural network. …”
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The reliably stable neural network controllers' synthesis with the transient process parameters optimization by Serhii Vladov, Anatoliy Sachenko, Victoria Vysotska, Yevhen Volkanin, Dmytro Kukharenko, Danylo Severynenko

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Detection and diagnosis of fault bearing using wavelet packet transform and neural network by Said DJABALLAH, Kamel Meftah, Khaled Khelil, Mohsein Tedjini, Lakhdar Sedira

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Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning by Spyridon Chavlis, Panayiota Poirazi

“…Abstract Artificial neural networks (ANNs) are at the core of most Deep Learning (DL) algorithms that successfully tackle complex problems like image recognition, autonomous driving, and natural language processing. …”
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Dynamic Surface Control of Harmonic Drive Mechanism based on RBF Neural Network by Li Xiangwei, Hou Gaoqiang

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An Index for Measuring Functional Diversity in Plant Communities Based on Neural Network Theory by Naiqi Song, Jin-Tun Zhang

“…A new method based on neural network, self-organizing feature map (SOFM index), was put forward and described. …”
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Integrated Photonic Neural Networks for Equalizing Optical Communication Signals: A Review by Luís C. B. Silva, Pablo R. N. Marciano, Maria J. Pontes, Maxwell E. Monteiro, Paulo S. B. André, Marcelo E. V. Segatto

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CT-Scan Method-based Artificial Neural Network for Diagnosis of COVID-19 by Humam Adnan Sameer, Ammar Hussein Mutlag, Sadik Kamel Gharghan

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NARX Neural Network Derivations of the Outer Boundary Radiation Belt Electron Flux by D. A. Landis, A. A. Saikin, I. Zhelavskaya, A. Y. Drozdov, N. Aseev, Y. Y. Shprits, M. F. Pfitzer, A. G. Smirnov

“…GOES‐15 measurements of 0.8 MeV electrons were used to train a Nonlinear Autoregressive with Exogenous input (NARX) neural network for both modeling GOES‐15 flux values and an upper boundary condition scaling factor (BF). …”
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