Visualization of multidimensional data taking into account the learning flow of the self organizing neural network by Gintautas Dzemyda, Olga Kurasova

“… In the paper we discuss the visualization of multidimensional vectors taking into account the learning flow of the self organizing neural network. A new algorithm realizing a combination of the self-organizing map (SOM) and Sammon's mapping has been proposed. …”
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Sensor fusion with high‐order moments constraints using projection‐based neural network by Yousef Alipouri, Reza Rafati Bonab, Lexuan Zhong

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Parallel Bookkeeping Path of Accounting in Government Accounting System Based on Deep Neural Network by Qing Li

“…The neural network is of great help to financial accounting. …”
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The Effect of Cord Blood Bile Acid Levels on the Meconium Passage in Utero in Normal Pregnancies by Saynur Sarıcı Yılmaz, Deniz Hızlı, Yaprak Engin Üstün, Engin Yılmaz, Elif Gül Yapar Eyi, Leyla Mollamahmutoğlu

“… OBJECTIVE: To investigate the effect of bile acids on meconium passage in utero in normal pregnancies. STUDY DESIGN: This prospective case control study was performed at Zekai Tahir Burak Women’s Health and Teaching Hospital between September 1, 2010 and January 1, 2011. …”
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Stochastic Stability of Neural Networks with Both Markovian Jump Parameters and Continuously Distributed Delays by Quanxin Zhu, Jinde Cao

“…The problem of stochastic stability is investigated for a class of neural networks with both Markovian jump parameters and continuously distributed delays. …”
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Analysis and Prediction of Body Test Results Based on Improved Backpropagation Neural Network Algorithm by Zhanju Ma, Yao Wang

“…Using the relevant data of college students’ physical fitness test and sports performance as the object of research, a BP neural network model is developed to predict performance. …”
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Preparing Schrödinger Cat States in a Microwave Cavity Using a Neural Network by Hector Hutin, Pavlo Bilous, Chengzhi Ye, Sepideh Abdollahi, Loris Cros, Tom Dvir, Tirth Shah, Yonatan Cohen, Audrey Bienfait, Florian Marquardt, Benjamin Huard

“…We show that it is possible to teach a neural network to output optimized control pulses for a whole family of quantum states. …”
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Application of Functional Link Artificial Neural Network for Prediction of Machinery Noise in Opencast Mines by Santosh Kumar Nanda, Debi Prasad Tripathy

“…Functional link-based neural network models were applied to predict opencast mining machineries noise. …”
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Dissociable effects of perceived control on reward-related neural dynamics under risk and ambiguity by Shiting Chen, Menglin Wu, Jianbiao Zhao, Guanglong Liu, Wendeng Yang, Ya Zheng

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Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks by Anping Zha, Jianjun Tu

“…Therefore, according to the availability of realistic data, this paper establishes a deep neural network prediction model for the collaborative development of ports and uses various port logistics indicators to predict the economic development trend, so as to realize a nonlinear mapping relationship between the level of port economic development and the side of port logistics demand. …”
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A New Method for Evaporation Modeling: Dynamic Evolving Neural-Fuzzy Inference System by Ozgur Kisi, Iman Mansouri, Jong Wan Hu

“…The study investigates the ability of new method, dynamic evolving neural-fuzzy inference system (DENFIS), in modeling monthly pan evaporation. …”
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Corneal Biomechanical Assessment Using Corneal Visualization Scheimpflug Technology in Keratoconic and Normal Eyes by Lei Tian, Yi-Fei Huang, Li-Qiang Wang, Hua Bai, Qun Wang, Jing-Jing Jiang, Ying Wu, Min Gao

“…Sixty keratoconic eyes from 47 keratoconus patients and 60 normal eyes from 60 controls were enrolled in this prospective study. …”
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Species evolution: cryptic species and phenotypic noise with a particular focus on fungal systematics by Anusha H. Ekanayaka, Anusha H. Ekanayaka, Samantha C. Karunarathna, Samantha C. Karunarathna, Saowaluck Tibpromma, Arun Kumar Dutta, Danushka Sandaruwan Tennakoon, Anuruddha Karunarathna, Ekachai Chukeatirote, Dong-Qin Dai, Steven L. Stephenson, Sajeewa S. N. Maharachchikumbura, Chao Liu, Alan J. L. Phillips

“…This review addresses the available literature on this topic, intending to provide a general and overall discussion on both the cryptic species concept and the phenotypic noise concept and their effect on evolution, ecology, biodiversity, and taxonomy with a special focus on fungal systematics. hence, several fungal case studies representing the two concepts are presented, compared, and discussed for a better understanding.…”
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Evaluation Technique of Chloride Penetration Using Apparent Diffusion Coefficient and Neural Network Algorithm by Yun-Yong Kim, Byung-Jae Lee, Seung-Jun Kwon

“…This paper proposes a simple analysis technique for chloride behavior using apparent diffusion coefficient from neural network algorithm with time-dependent diffusion phenomena. …”
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Advanced Malware Detection: Integrating Convolutional Neural Networks with LSTM RNNs for Enhanced Security by Balsam Ridha Habeeb Alsaedi

Subjects: “…convolutional neural network…”
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A New Early Rumor Detection Model Based on BiGRU Neural Network by Xiangning Chen, Caiyun Wang, Dong Li, Xuemei Sun

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The Application of Convolutional Neural Network Combined with Fuzzy Algorithm in Colorectal Endoscopy for Tumor Assessment by Te-Jen Su, Feng-Chun Lee, Cheuk-Kwan Sun, Fu-Xiang Ke, Shih-Ming Wang, Ming-Chih Huang

“…In this study, the convolutional neural network was used to assess the risk of tumor in the colon by colonoscopy. …”
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IGN: Invariable gene set-based normalization for chromatin accessibility profile data analysis by Shengen Shawn Hu, Hai-Hui Xue, Chongzhi Zang

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Advancements in the Application of Convolutional Neural Networks in Ultrasound Imaging for Breast Cancer Diagnosis and Treatment by An Zichen, Li Fan

Subjects: “…|breast cancer|ultrasonography|computer neural networks…”
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Advantages of Combining Factorization Machine with Elman Neural Network for Volatility Forecasting of Stock Market by Fang Wang, Sai Tang, Menggang Li

“…The results were compared with predictions obtained from the other two models which are basic BP neural network and the Elman neural network. Some experiments showed that the FM-Elman model outperforms others through different accuracy measures. …”
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