Cabata | a Hybrid Cbr System
نویسنده
چکیده
This paper presents Cabata, a hybrid case-based reasoning system that has been developed at the The most characteristic feature of the system is the combination of model-based and case-based reasoning within a hybrid architecture.
منابع مشابه
A hybrid system combining self-organizing maps with case-based reasoning in wholesaler's new-release book forecasting
In this paper, we proposed a hybrid system to combine the self-organizing map (SOM) of neural network with case-based reasoning (CBR) method, for sales forecast of new released books. CBR systems have been successfully used in several domains of artificial intelligence. In order to enhance efficiency and capability of CBR systems, we connected the SOM method to deal with cluster problems of CBR...
متن کاملA CBR/RBR Hybrid for Designing Nutritional Menus
The task of designing nutritious, yet appetizing, menus is one at which human experts consistently outperform computer systems. Tailoring a menu to the needs of an individual requires satisfaction of multiple numeric nutrition constraints plus personal preference goals and aesthetic criteria. We have combined case-based reasoning (CBR) and rule-based reasoning (RBR) in a hybrid system which des...
متن کاملIntegrations with case-based reasoning
This commentary succinctly summarizes work in integrating case-based reasoning (CBR) with other reasoning modalities. Including CBR in mixed mode approaches promotes synergies and benefits beyond those achievable using CBR or other individual reasoning approaches alone. Numerous examples of hybrid systems, with pointers to significant references, are provided.
متن کاملRobot Navigation Using Integrated Retrieval of Behaviors and Routes
RUPART is a hybrid robot control system for navigating a real-world, academic building. Hybrid robot control systems provide robust low-level navigation together with strategic planning abilities. While a hybrid system may produce better overall performance, it is often a complex system that must balance reactive with deliberative tasks, and where learning and adaptation are more difficult to a...
متن کاملEvolving 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...
متن کامل