Add to ORKGThis paper had been presented for promotion at the university of Khartoum. To get the full text please contact the other at meyahia@hotmail.com, meyahia@acm.org,A new method for pre-processing input to neural network based on rough sets analysis was proposed The method was used to construct a rough inference engine within the frame of neural expert system. As an example, a neural expert system for medical diagnosis was built using the two engines. The obtained result shows consistency of the given data and the classification given by experts
Multiagent technologies enable us to explore their sociological and psychological foundations. A med...
The paper presents a new hybridization methodology involving Neural, Fuzzy and Rough Computing. A Ro...
Most real-world problems involve a concurrent optimization of conflicting objectives. Systems for us...
The knowledge acquisition process is a crucial stage in the technology of expert systems. However, t...
This paper had been presented for promotion at the university of Khartoum. To get the full text ple...
Abstract. This paper introduces a neural network architecture based on rough sets and rough membersh...
Rough sets and neural networks both offer good theoretical background for data processing and analys...
A method of integrating rough sets and fuzzy multilayer perceptron (MLP) for designing a knowledge-b...
In this research, I investigate and compared two of Artificial Intelligence (AI)techniques which are...
Neuro-fuzzy systems is a popular hybridization in soft computing that abstracts a fuzzy model from g...
Neuro-fuzzy systems is a popular hybridization in soft computing that abstracts a fuzzy model from g...
The paper focuses on problems which arise when two different types of AI methods are combined in one...
[[abstract]]A major bottleneck in building expert systems is the process of acquiring the required k...
Abstract: This paper concerns consideration on methods of inference engine constructing in...
Multiagent technologies enable us to explore their sociological and psychological foundations. A med...
Multiagent technologies enable us to explore their sociological and psychological foundations. A med...
The paper presents a new hybridization methodology involving Neural, Fuzzy and Rough Computing. A Ro...
Most real-world problems involve a concurrent optimization of conflicting objectives. Systems for us...
The knowledge acquisition process is a crucial stage in the technology of expert systems. However, t...
This paper had been presented for promotion at the university of Khartoum. To get the full text ple...
Abstract. This paper introduces a neural network architecture based on rough sets and rough membersh...
Rough sets and neural networks both offer good theoretical background for data processing and analys...
A method of integrating rough sets and fuzzy multilayer perceptron (MLP) for designing a knowledge-b...
In this research, I investigate and compared two of Artificial Intelligence (AI)techniques which are...
Neuro-fuzzy systems is a popular hybridization in soft computing that abstracts a fuzzy model from g...
Neuro-fuzzy systems is a popular hybridization in soft computing that abstracts a fuzzy model from g...
The paper focuses on problems which arise when two different types of AI methods are combined in one...
[[abstract]]A major bottleneck in building expert systems is the process of acquiring the required k...
Abstract: This paper concerns consideration on methods of inference engine constructing in...
Multiagent technologies enable us to explore their sociological and psychological foundations. A med...
Multiagent technologies enable us to explore their sociological and psychological foundations. A med...
The paper presents a new hybridization methodology involving Neural, Fuzzy and Rough Computing. A Ro...
Most real-world problems involve a concurrent optimization of conflicting objectives. Systems for us...