RETRACTED: Justification for selecting the neural network type for inclusion in the architecture of the developed medical information system by Berezovsky Vladimir, Vygovskaya Natallia

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Force Tracking Control of Lower Extremity Exoskeleton Based on a New Recurrent Neural Network by Yuxuan Cao, Jie Chen, Li Gao, Jiqing Luo, Jinyun Pu, Shengli Song

“…In this paper, a control method based on a novel recurrent neural network, namely zeroing neural network (ZNN), is proposed to obtain the accurate force tracking. …”
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Applying Neural Networks to Hyperspectral and Multispectral Field Data for Discrimination of Cruciferous Weeds in Winter Crops by Ana-Isabel de Castro, Montserrat Jurado-Expósito, María-Teresa Gómez-Casero, Francisca López-Granados

“…To identify differences in reflectance between cruciferous weeds, we applied three classification methods: stepwise discriminant (STEPDISC) analysis and two neural networks, specifically, multilayer perceptron (MLP) and radial basis function (RBF). …”
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A　New　Sequential　Detection　Based　on　Hopfield　Neural　Network　in　Frequency　Selective　Fading　Channels by Weng Jianfeng, Bi Guangguo(Southeast University, Nanjing 210018)

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Expression of Concern: “Support vector machine and neural network for enhanced classification algorithm in ecological data”

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A Novel Neural Network-Based Approach Comparable to High-Precision Finite Difference Methods by Fanghua Pei, Fujun Cao, Yongbin Ge

Subjects: “…neural network…”
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Predicting Cardiovascular Diseases Using Neural Networks: Validation With the SCORE2 Risk Assessment Tool by Mohammed Marouane Saim, Hassan Ammor, Mohamed Alami

“…This study introduces an approach to predicting cardiovascular diseases (CVDs) by leveraging neural networks and evaluates its performance against the widely recognized SCORE2 risk assessment tool. …”
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Periodic Solutions of a Cohen-Grossberg-Type BAM Neural Networks with Distributed Delays and Impulses by Qiming Liu, Rui Xu

“…A class of Cohen-Grossberg-type BAM neural networks with distributed delays and impulses are investigated in this paper. …”
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Normal and Abnormal Masses Detection in Mammography Images Using Deep Convolutional Neural Network (DCNN) by Farnaz Hoseini, Hamed Sepehrzadeh

Subjects: “…separated by semicolons convolutional neural network (cnn)…”
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Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect by Qikui Zhu, Bo Du, Baris Turkbey, Peter Choyke, Pingkun Yan

“…To tackle this problem, in this paper, we propose a deep neural network with bidirectional convolutional recurrent layers for MRI prostate image segmentation. …”
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Optimization of Online Teaching Quality Evaluation Model Based on Hierarchical PSO-BP Neural Network by Luxin Jiang, Xiaohui Wang

“…In the evaluation of teaching quality, aiming at the shortcomings of slow convergence of BP neural network and easy to fall into local optimum, an online teaching quality evaluation model based on analytic hierarchy process (AHP) and particle swarm optimization BP neural network (PSO-BP) is proposed. …”
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Valve Fault Diagnosis in Internal Combustion Engines Using Acoustic Emission and Artificial Neural Network by S. M. Jafari, H. Mehdigholi, M. Behzad

“…The experimental results showed that AE is an effective method to detect damage and the type of damage in valves in both of the time and frequency domains. An artificial neural network was trained based on time domain analysis using AE parametric features (AErms, count, absolute AE energy, maximum signal amplitude, and average signal level). …”
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Dynamic　Bandwidth　Allocation　Technique　in　ATM　Networks　Based　on　Fuzzy　Neural　Networks　and　Genetic　Algorithm by Zhang Liangjie Li Yanda Wang Pu (Dept of Automation Tsinghua University, Beijing 100084)

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Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network by Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin

Subjects: “…radial basis function neural network (rbfnn)…”
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Fault Diagnosis Method of Planetary Gearboxes Based on LMD Permutation Entropy and BP Neural Network by Gao Sujie, Wu Shijing, Zhou Jianhua, Zheng Pan, Chen Ben, Xu Jiacai

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Antisynchronization and Generalized Pinning Control of Multiweighted Coupled Complex-Valued Delayed Memristive Neural Networks by Limei Su, Yanli Huang

“…In this article, antisynchronization problem of multiweighted coupled complex-valued delayed memristive neural networks (MWCCVDMNNs) with and without coupling delays are investigated. …”
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A Lightweight Convolutional Neural Network for Real-time Detection of Aircraft Engine Blade Damage by Wenzhe Wang, Hua Su, Xinliang Liu, Jawad Munir, Jingqiu Wang

Subjects: “…lightweight convolution neural network…”
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Bridge Seismic Damage Assessment Model Applying Artificial Neural Networks and the Random Forest Algorithm by Hanxi Jia, Junqi Lin, Jinlong Liu

“…This paper proposed a rapid assessment method for bridge seismic damage based on the random forest algorithm (RF) and artificial neural networks (ANN). This method evaluated the relative importance of each uncertain influencing factor of the seismic damage to the girder bridges and arch bridges, respectively. …”
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Existence and Exponential Stability of Periodic Solution for a Class of Generalized Neural Networks with Arbitrary Delays by Yimin Zhang, Yongkun Li, Kuohui Ye

“…By the continuation theorem of coincidence degree and M-matrix theory, we obtain some sufficient conditions for the existence and exponential stability of periodic solutions for a class of generalized neural networks with arbitrary delays, which are milder and less restrictive than those of previous known criteria. …”
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Research on Energy-Efficient Building Design Using Target Function Optimization and Genetic Neural Networks by Youxiang Huan

“…This paper utilizes the EnergyPlus API to directly call the simulation engine from within the optimization algorithm. The genetic neural network algorithm iteratively modifies design parameters (e.g., building orientation, insulation levels etc) and evaluates the resulting energy performance using EnergyPlus. …”
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