Principles of expert systems
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Object-oriented knowledge representation and discovery of human chewing behaviours
Engineering Applications of Artificial Intelligence
Simulation of food mastication based on discrete element method
International Journal of Computer Applications in Technology
Hi-index | 12.05 |
To model human mastication of foods, an object-oriented knowledge framework is developed that consists of three class objects, one for the physiology related to the mastication, one for the masticatory measurements, and the other for the factors affecting mastication. Each class object is structured in a hierarchy of sub-objects according to the domain or literature knowledge. The knowledge about the relationships among the attributes of objects is represented by IF-THEN rules. These rules can be discovered from the experimental database following the knowledge discovery in database. A case study is presented where a foods chewing database involving EMG mandibular movement measurements is used, two decision trees are discovered with respect to the type of rheological properties and hardness, and the rules derived are expressed in the context of the knowledge framework.