基于区块链的下一代优化LSTM模型安全股票市场价格预测

IF 1.2 4区工程技术 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Fluctuation and Noise Letters Pub Date : 2023-08-17 DOI:10.1142/s0219477524400029

Amol Dattatray Dhaygude, I. Khan, P. Singh, Mukesh Soni, Salman A. Alqahtani, Yudong Zhang

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Blockchain-based Secure Stock Market Price Prediction using Next Generation Optimized LSTM Model

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来源期刊

Fluctuation and Noise Letters 工程技术-数学跨学科应用

CiteScore

2.90

自引率

22.20%

发文量

审稿时长

>12 weeks

期刊介绍： Fluctuation and Noise Letters (FNL) is unique. It is the only specialist journal for fluctuations and noise, and it covers that topic throughout the whole of science in a completely interdisciplinary way. High standards of refereeing and editorial judgment are guaranteed by the selection of Editors from among the leading scientists of the field. FNL places equal emphasis on both fundamental and applied science and the name "Letters" is to indicate speed of publication, rather than a limitation on the lengths of papers. The journal uses on-line submission and provides for immediate on-line publication of accepted papers. FNL is interested in interdisciplinary articles on random fluctuations, quite generally. For example: noise enhanced phenomena including stochastic resonance; 1/f noise; shot noise; fluctuation-dissipation; cardiovascular dynamics; ion channels; single molecules; neural systems; quantum fluctuations; quantum computation; classical and quantum information; statistical physics; degradation and aging phenomena; percolation systems; fluctuations in social systems; traffic; the stock market; environment and climate; etc.