Intelligent Systems for Business: Expert Systems with Neural Networks
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TL;DR
This paper presents components of neural networks and a comparison with expert systems Neural network architectures and hybrid methods, systems, and tools for expert systems: Level 5 object a hybrid tool.
Abstract
Why are expert systems and neural networks needed? The theoretical foundation of expert systems: knowledge representation based on logic Inference and knowledge processing Practical aspects in applying expert systems: deductive reasoning tools and Level 5 Inductive reasoning with 1st-class System development and knowledge acquisition Object-oriented representation and hybrid methods: object-oriented representation and design Hybrid methods, systems, and tools for expert systems: Level 5 object: a hybrid tool Advanced topics in expert systems: uncertainty in expert systems software evaluation in expert systems Neural networks:components of neural networks and a comparison with expert systems Neural network architectures.