AIMC Topic: Models, Economic

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The value of artificial intelligence for the treatment of mechanically ventilated intensive care unit patients: An early health technology assessment.

Journal of critical care
PURPOSE: The health and economic consequences of artificial intelligence (AI) systems for mechanically ventilated intensive care unit patients often remain unstudied. Early health technology assessments (HTA) can examine the potential impact of AI sy...

Hybrid deep learning models with multi-classification investor sentiment to forecast the prices of China's leading stocks.

PloS one
The prediction of stock prices has long been a captivating subject in academic research. This study aims to forecast the prices of prominent stocks in five key industries of the Chinese A-share market by leveraging the synergistic power of deep learn...

A Study on the Application of BP Neural Network Based on Visual Recognition in Regional Economic Forecasting.

Computational intelligence and neuroscience
The economic growth in the new normal is no longer limited to the total amount and scale of economic growth in the traditional and neoclassical periods, but has changed to "quality" and "development" under the dual requirements of historical changes ...

A graph-based approach to multi-source heterogeneous information fusion in stock market.

PloS one
The stock market is an important part of the capital market, and the research on the price fluctuation of the stock market has always been a hot topic for scholars. As a dynamic and complex system, the stock market is affected by various factors. How...

Volatility forecasts of stock index futures in China and the US-A hybrid LSTM approach.

PloS one
This paper is concerned with the unsolved issue of how to accurately predict the financial market volatility. We propose a novel volatility prediction method for stock index futures prediction based on LSTM, PCA, stock indices and relevant futures. I...

Innovation of Platform Economy Business Model Driven by BP Neural Network and Artificial Intelligence Technology.

Computational intelligence and neuroscience
In order to enhance the competitiveness of enterprises, how to evaluate and enhance the competitiveness of B2B e-commerce enterprises and promote the orderly and healthy development of B2B e-commerce industry are discussed. This paper puts forward th...

Visual and buying sequence features-based product image recommendation using optimization based deep residual network.

Gene expression patterns : GEP
A recommendation system is an imaginative resolution for managing the restrictions in e-commerce services with item details and user details. Also, it is used to determine the user preferences to recommend the items they expected to buy. Several conv...

Establishment of Economic Forecasting Model of High-tech Industry Based on Genetic Optimization Neural Network.

Computational intelligence and neuroscience
Scientific and accurate prediction of high-tech industries is of great practical significance for government departments to grasp the future economic operation and formulate development strategies. In this paper, aiming at some shortcomings of neural...

The Analysis of Sharing Economy on New Business Model Based on BP Neural Network.

Computational intelligence and neuroscience
The development of social economy and Internet information technology has made the development of the sharing economy relatively rapid. This article aims to study how to promote the sharing economy based on neural networks to play a role in new busin...

Design of a Regional Economic Forecasting Model Using Optimal Nonlinear Support Vector Machines.

Computational intelligence and neuroscience
Forecasting regional economic activity is a progressively significant element of regional economic research. Regional economic prediction can directly assist local, national, and subnational policymakers. Regional economic activity forecast can be em...