Piecewise Surface Regression Modeling in Intelligent Decision Guidance System
نویسنده
چکیده
An intelligent decision guidance system which is composed of data collection, learning, optimization, and prediction is proposed in the paper. Built on the traditional relational database management system, the regression learning ability is incorporated. The Expectation Maximization Multi-Step Piecewise Surface Regression Learning (EMMPSR) algorithm is proposed to solve piecewise surface regression problem. The algorithm proves to outperform a few currently-used regression learning packages. Optimization and prediction are integrated to the system based on the learning outcome.
منابع مشابه
Determination of the Most Important Diagnostic Criteria for COVID-19: A Step forward to Design an Intelligent Clinical Decision Support System
Background & Objective: Since the clinical and epidemiologic characteristics of coronavirus disease 2019 (COVID-19) is not well known yet, investigating its origin, etiology, diagnostic criteria, clinical manifestations, risk factors, treatments, and other related aspects is extremely important. In this situation, clinical experts face many uncertainties to make decision about COVID-19 progn...
متن کاملThe Effect of Experiment Range of Control Variables on the Efficiency of Regression Modeling
The efficient planning of each system requires an understanding of the true nature of the system. Regression models also represent a system that its input variables, the role of the system input, its variables coefficients, the role of the system process, and its response variables, play the role of the system output. Therefore, for exact regression modeling and efficient planning, it's essenti...
متن کاملPerformance Analysis of cooperative SWIPT System: Intelligent Reflecting Surface versus Decode-and-Forward
In this paper, we explore the impacts of utilizing intelligent reflecting surfaces (IRS) in a power-splitting based simultaneous wireless information and power transfer (PS-SWIPT) system and compare its performance with the traditional decode and forward relaying system. To analyze a more practical system, it is also assumed that the receiving nodes are subject to decoding cost, and they are on...
متن کاملAn intelligent agent-assisted decision support system for family financial planning
The demand for family financial planning (FFP) services is growing dramatically as the financial market grows more complex and people become more aware of the importance of qualified financial guidance. To provide decision support for FFP-related decisions, we formulate a conceptual model for FFP by following Simon's decision-making process model and map our model to the generic FFP process. Th...
متن کاملUser-based Vehicle Route Guidance in Urban Networks Based on Intelligent Multi Agents Systems and the ANT-Q Algorithm
Guiding vehicles to their destination under dynamic traffic conditions is an important topic in the field of Intelligent Transportation Systems (ITS). Nowadays, many complex systems can be controlled by using multi agent systems. Adaptation with the current condition is an important feature of the agents. In this research, formulation of dynamic guidance for vehicles has been investigated based...
متن کامل