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Journal ArticleDOI

Simulation of enterprise accounting information system based on improved neural network and cloud computing platform

TLDR
In order to improve the efficiency of enterprise accounting and improve the development of enterprise information system, Wang et al. as mentioned in this paper proposed the research of cloud computing, which can continuously integrate collected big data and process the data by categories, so that the data can be used most efficiently.
Abstract
With the development of science and technology and the application of big data technology, a new computing model based on the Internet has gradually been applied to all levels of society. This kind of computing technology relying on big data is also known as cloud computing, which can continuously integrate the collected big data and process the data by categories, so that the data can be used most efficiently. This will improve the user experience and enable users to enjoy the service of big data whenever and wherever. At the same time, advanced technology can also be combined with new service mode, which has become an important turning point in the development of modern service industry. For most enterprises, informatization is an inevitable development path. In order to improve the efficiency of enterprise accounting, we hope that the research of cloud computing can improve the efficiency of enterprise accounting and improve the development of enterprise information system.

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Citations
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Journal ArticleDOI

Accounting information systems: scientific production and trends in research

TL;DR: A state-of-the-art overview in research on Accounting Information Systems is provided, analyzing scientific production characteristics and identifying this topic research trends, to help organizations, public, private and governments to establish their strategies in this area.
Journal ArticleDOI

Informatization of Accounting Systems in Small- and Medium-Sized Enterprises Based on Artificial Intelligence-Enabled Cloud Computing

TL;DR: This study applies cloud computing to enterprise accounting management systems and shows that realizing SME accounting information management can effectively improve economic settlements.
Book ChapterDOI

Establishment of Financial Accounting Information Disclosure Model in the Era of Cloud Computing

TL;DR: The main purpose of establishing financial accounting information disclosure model is to help enterprises and organizations share their financial data with each other in a more convenient way as mentioned in this paper , which will also enable them to make better decisions based on data obtained from others.
Journal ArticleDOI

Accounting and analytical support of enterprises in the digital economy

TL;DR: In this article , a mathematical algorithm for evaluating the effectiveness of the use of IT-technologies in accounting and auditing is developed, which allows the formation of real-time operational reporting for the control of management decisions.
Proceedings ArticleDOI

Research on the Application of Artificial Intelligence Technology in Accounting Reform

Cheng Cai Han
TL;DR: This paper analyzes the technical risks, operational risks and legal risks of accounting informatization in the new era, and then reforms accounting Informatization through optical character recognition technology, natural language processing technology, and data mining in artificial intelligence technology.
References
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Proceedings Article

Adam: A Method for Stochastic Optimization

TL;DR: This work introduces Adam, an algorithm for first-order gradient-based optimization of stochastic objective functions, based on adaptive estimates of lower-order moments, and provides a regret bound on the convergence rate that is comparable to the best known results under the online convex optimization framework.
Posted Content

Adam: A Method for Stochastic Optimization

TL;DR: In this article, the adaptive estimates of lower-order moments are used for first-order gradient-based optimization of stochastic objective functions, based on adaptive estimate of lowerorder moments.
Proceedings ArticleDOI

Learning Phrase Representations using RNN Encoder--Decoder for Statistical Machine Translation

TL;DR: In this paper, the encoder and decoder of the RNN Encoder-Decoder model are jointly trained to maximize the conditional probability of a target sequence given a source sequence.
Journal ArticleDOI

A fast learning algorithm for deep belief nets

TL;DR: A fast, greedy algorithm is derived that can learn deep, directed belief networks one layer at a time, provided the top two layers form an undirected associative memory.
Posted Content

Empirical evaluation of gated recurrent neural networks on sequence modeling

TL;DR: These advanced recurrent units that implement a gating mechanism, such as a long short-term memory (LSTM) unit and a recently proposed gated recurrent unit (GRU), are found to be comparable to LSTM.