Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Expert Systems: Design and Development
Expert Systems: Design and Development
Artificial Intelligence: A Guide to Intelligent Systems
Artificial Intelligence: A Guide to Intelligent Systems
Expert Systems: Principles and Programming
Expert Systems: Principles and Programming
Knowledge Representation and Reasoning
Knowledge Representation and Reasoning
Complexity Management in Fuzzy Systems: A Rule Base Compression Approach (Studies in Fuzziness and Soft Computing)
Advanced modelling of complex processes by fuzzy networks
WSEAS Transactions on Circuits and Systems
| Hi-index | 0.00 |
A rule based system is a 'black box' model in the form of a single large rule base which does not take into account any interconnections in a complex process. As opposed to this, a rule based network is a 'white box' model in the form of multiple smaller rule bases which takes into account all interconnections. This paper introduces briefly the foundations of rule based networks including formal models, basic operations, structural properties and advanced operations. It also highlights feedforward and feedback rule based networks. Finally, a comparative evaluation of rule based networks in relation to rule based systems is presented.