CBR based system for forecasting red tides

An Automated Hybrid CBR System for Forecasting

A hybrid neuro-symbolic problem solving model is presented in which the aim is to forecast parameters of a complex and dynamic environment in an unsupervised way. In situations in which the rules that determine a system are unknown, the prediction of the parameter values that determine the characteristic behaviour of the system can be a problematic task. The proposed system employs a case-based...

A Hybrid CBR Model for Forecasting in Complex Domains

A hybrid neuro-symbolic problem solving model is presented in which the aim is to forecast parameters of a complex and dynamic environment in an unsupervised way. In situations in which the rules that determine a system are unknown, the prediction of the parameter values that determine the characteristic behaviour of the system can be a problematic task. The proposed model employs a case-based ...

FSFRT: Forecasting System for Red Tides. A Hybrid Autonomous AI Model

Forecasting of ERP Implementation Using Case-Based Reasonings

Case-based reasoning (CBR) is widely used in the business and industrial forecasting. CBR is powerful tool in forecasting. It is suitable to complex and unstructured problem. Recently, CBR is applied many variety of business decision making, such as Enterprise Resource Planning (ERP) pre-planning control, bankrupt, Information System (IS) development control, prediction of customer churning. Th...

Evolving Case-Based Reasoning with Genetic Algorithm in Wholesaler's Returning Book Forecasting

In this paper, a hybrid system is developed by evolving Case-Based Reasoning (CBR) with Genetic Algorithm (GA) for reverse sales forecasting of returning books. CBR systems have been successfully applied in several domains of artificial intelligence. However, in conventional CBR method each factor has the same weight which means each one has the same influence on the output data that does not r...