An Expert System for LD Steel Making

Expert Systems in the Steel Making Industry

This paper presents three prototypical expert systems that were developed in different fields of the steel making industry. It is described which kind of knowledge has to be represented, what are the techniques required for intelligent reasoning, and why expert systems offer better solutions to the described problems than traditional programming approaches. From the given applications the main ...

Designing an expert system for diagnosis of TB

Developing an Expert System for Diabetics Treatment Advices

Today, expert systems are widely applied in medicine for prognosis, diagnosis, checkup, and treatment of various kinds of diseases. A comprehensive system for the checkup and treatment of different types of diabetes is still lacking. This paper reports development of such a system, its validation, and its utility in facilitating medical decision-making and supporting self-care.

Feed Forward Neural Network for Prediction of end Blow Oxygen in LD Converter Steel Making

A multi layered feed forward neural network model is being developed for the prediction of end blow oxygen in the LD converter using a two step process. In the first step intermediate stopping temperature is being predicted and using this as an input the end blow oxygen is predicted. In both the cases two hidden layers had given the best results compared to the single layer neural network. Inte...

Expert System For Making Sulfate-Resistant Concrete

The development and the main features of a knowledge-based expert system for modelling the requirements of durable concrete in sulfate exposure, called the Sulfate-Resistant Concrete Advisor (SRCA), are described. The system was developed to help improve the quality of concrete exposed to sulfate environment by minimizing mistakes and deficiencies in selecting concrete constituents. Using Kappa...