为了规避外汇交易风险,方便持有外汇的居民投资理财,设计开发了一个智能外汇自动交易系统。该系统以Meta-Trader 4为开发平台,MetaQuotes Language 4为开发语言,利用赌博算法和RBF网络算法思想,设计了系统的框架和运行流程,并对各模块...为了规避外汇交易风险,方便持有外汇的居民投资理财,设计开发了一个智能外汇自动交易系统。该系统以Meta-Trader 4为开发平台,MetaQuotes Language 4为开发语言,利用赌博算法和RBF网络算法思想,设计了系统的框架和运行流程,并对各模块进行了详细实现。测试结果表明,结合赌博算法和RBF网络算法的自动交易系统,在复杂的非线性外汇行情中有良好的智能调节和自我学习的能力,能有效规避外汇风险,提高投资理财的成功率。展开更多
This paper discusses the development and implementation of an evacuation demand forecasting module that was incorporated into a comprehensive decision support system for the planning and management of contraflow opera...This paper discusses the development and implementation of an evacuation demand forecasting module that was incorporated into a comprehensive decision support system for the planning and management of contraflow operations in the Gulf of Mexico. Contraflow implies the reversing of one direction of a highway in order to permit a substantially increased travel demand exiting away from an area impacted by a natural disaster or any other type of catastrophic event. Correctly estimating the evacuation demand originated from such a catastrophic event is critical to a successful contraflow implementation. One problem faced by transportation officials is the arranging of the different stages of this complex traffic procedure. Both the prompt deployment of resources and personnel as well as the duration of the actual contraflow affect the overall effectiveness, safety and cost of the evacuation event. During this project, researchers from the University of Alabama developed an integral decision support system for contraflow evacuation planning to assist the Alabama Department of Transportation Maintenance Bureau in the evaluation and planning of contraflow operations oriented to mitigate the evacuation burdens of a hurricane event. This paper focuses on the design of the demand forecasting module of such a decision support system.展开更多
文摘为了规避外汇交易风险,方便持有外汇的居民投资理财,设计开发了一个智能外汇自动交易系统。该系统以Meta-Trader 4为开发平台,MetaQuotes Language 4为开发语言,利用赌博算法和RBF网络算法思想,设计了系统的框架和运行流程,并对各模块进行了详细实现。测试结果表明,结合赌博算法和RBF网络算法的自动交易系统,在复杂的非线性外汇行情中有良好的智能调节和自我学习的能力,能有效规避外汇风险,提高投资理财的成功率。
文摘This paper discusses the development and implementation of an evacuation demand forecasting module that was incorporated into a comprehensive decision support system for the planning and management of contraflow operations in the Gulf of Mexico. Contraflow implies the reversing of one direction of a highway in order to permit a substantially increased travel demand exiting away from an area impacted by a natural disaster or any other type of catastrophic event. Correctly estimating the evacuation demand originated from such a catastrophic event is critical to a successful contraflow implementation. One problem faced by transportation officials is the arranging of the different stages of this complex traffic procedure. Both the prompt deployment of resources and personnel as well as the duration of the actual contraflow affect the overall effectiveness, safety and cost of the evacuation event. During this project, researchers from the University of Alabama developed an integral decision support system for contraflow evacuation planning to assist the Alabama Department of Transportation Maintenance Bureau in the evaluation and planning of contraflow operations oriented to mitigate the evacuation burdens of a hurricane event. This paper focuses on the design of the demand forecasting module of such a decision support system.
