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Stock values predictions using deep learning based hybrid models

CAAI Transactions on Intelligence Technology 2022年第1期7卷 107-116页

作者： konark yadav Milind yadav Sandeep Saini Department of Electronics and Communication Engineering The LNM Institute of Information TechnologyJaipurIndia Department of Computer Science and Engineering Rajasthan Technical UniversityKotaRajasthanIndia

Predicting the correct values of stock prices in fast fluctuating high-frequency financial data is always a challenging task.A deep learning-based model for live predictions of stock values is aimed to be developed *** authors'have proposed two models for different *** first one is based on Fast Recurrent Neural Networks(Fast RNNs).This model is used for stock price predictions for the first time in this *** second model is a hybrid deep learning model developed by utilising the best features of FastRNNs,Convolutional Neural Networks,and Bi-Directional Long Short Term Memory models to predict abrupt changes in the stock prices of a *** 1-min time interval stock data of four companies for a period of one and three days is *** with the lower Root Mean Squared Error(RMSE),the proposed models have low computational complexity as well,so that they can also be used for live *** models'performance is measured by the RMSE along with computation *** model outperforms Auto Regressive Integrated Moving Average,FBProphet,LSTM,and other proposed hybrid models on both RMSE and computation time for live predictions of stock values.

关键词： companies price stock

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Role of RAGE in the Pathogenesis of Neurological Disorders

引用

Neuroscience Bulletin 2022年第10期38卷 1248-1262页

作者： Judyta Juranek konark Mukherjee Bernard Kordas Michał Załęcki Agnieszka Korytko Kamila Zglejc-Waszak Jarosław Szuszkiewicz Marta Banach Department of Human Physiology and Pathophysiology School of MedicineUniversity of Warmia and Mazury10-085OlsztynPoland Fralin Biomedical Research Institute at VTC Virginia TechBlacksburgVA24016USA Department of Animal Anatomy Faculty of Veterinary MedicineUniversity of Warmia and Mazury10-719OlsztynPoland Department of Materials and Machines Technology Faculty of Technical SciencesUniversity of Warmia and Mazury10-719OlsztynPoland Department of Neurology Collegium MedicumJagiellonian University31-008KrakówPoland

This review reflects upon our own as well as other investigators’studies on the role of receptor for advanced glycation end-products(RAGE),bringing up the latest information on RAGE in physiology and pathology of the nervous *** the last ten years,major progress has been made in uncovering many of RAGE-ligand interactions and signaling pathways in nervous tissue;however,the translation of these discoveries into clinical practice has not come to fruition *** is likely,in part to be the result of our incomplete understanding of this crucial signaling *** trials examining the therapeutic efficacy of blocking RAGE-external ligand interactions by genetically engineered soluble RAGE or an endogenous RAGE antagonist,has not stood up to its promise;however,other trials with different blocking agents are being considered with hope for therapeutic success in diseases of the nervous system.

关键词： Receptor for advanced glycation end-products Nervous system Neurological disorders Sensorimotor disorders

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