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Full-Text Articles in Business
Stock Market Forecasting Based On Artificial Intelligence Technology, Yuzhun Liang
Stock Market Forecasting Based On Artificial Intelligence Technology, Yuzhun Liang
Electronic Theses, Projects, and Dissertations
This culminating experience project used artificial intelligence (AI) technology to forecast and analyze the stock market and construct complex nonlinear relationships between the input data and the output data. This project used a radial basis function neural network to forecast and analyze the stock market data. Compared the radial basis function neural network performance with the feed-forward neural network and clearly showed the superiority of the radial basis function neural network over the feed-forward neural network in the data processing. The results showed that AI technology could effectively predict stock market performance. Based on the results, the conclusion is that …
Inference-Guiding On Bayesian Knowledge-Based Systems, Jinchang Wang
Inference-Guiding On Bayesian Knowledge-Based Systems, Jinchang Wang
Journal of International Technology and Information Management
Bayesian network is a robust structure for representing knowledge containing uncertainties in a knowledge-based system. In applications of expert systems and knowledge-based systems, it often happens that initial data are not sufficient to derive a conclusion of high enough certainty. Inference-guiding is in that case to identify the missing information, pursue its value, and lead inference to a conclusion. This paper presents and characterizes a criterion for effectively selecting key missing information, and thereby develops a “smart” inference approach with the inference-guiding function based on the newly developed criterion for uncertain inference in a Bayesian knowledge-based system.
An Artificial Intelligence Approach To International Market Screening Dss, Kelly E. Fish
An Artificial Intelligence Approach To International Market Screening Dss, Kelly E. Fish
Journal of International Technology and Information Management
This paper applies artificial intelligence (AI) computing, Kohonan Self-Organizing Maps (SOMs), to the problem of international market selection (IMS). Broadly speaking, IMS can be summarized to consist of three stages a) screening stage, b) identification stage and, c) selection stage. The screening stage often employs some type of grouping technique so that firms can begin to view the potential markets in terms of similarities and differences over variables of interest. The underlying purpose is to screen out or eliminate markets that do not meet certain criteria established by the firm. Statistical techniques such as cluster analysis, discriminant analysis or factor …
Inference-Guiding For Intelligent Agents, Jinchang Wang
Inference-Guiding For Intelligent Agents, Jinchang Wang
Journal of International Technology and Information Management
In many applications of intelligent agents, initially given facts are not sufficient to reach a decision, and more data are needed. In that case, Inference-guiding is needed to identify the missing information and lead inference to a conclusion. This paper presents a new inference- guiding strategy that selects the key pieces of missing information in such a way that the total cost of acquiring additional information for reaching a conclusion is the lowest. The computational experiments show that the new strategy is more effective and economical than the inference-guiding strategies currently available for the intelligent systems.