Add to ORKGAbstract: This paper concerns consideration on methods of inference engine constructing in diagnostic expert systems. The problem of correct processing of incomplete and unreliable information was under special consideration. For example of solution of this problem we describe the inference engine of expert system VibroExpert, that is built on the base of five-layer neural network. This network is compiled basing on rules in the beginning of system working.Note: Research direction:Programming, parallel computing, multimedi
Presented paper deals with preliminary design of an empty expert system suitable for system monitori...
We present a mechanism for recovering consistent data from inconsistent set of assertions. For a com...
The knowledge acquisition process is a crucial stage in the technology of expert systems. However, t...
Abstract: This paper concerns consideration on methods of diagnostic expert systems constr...
In troubleshooting Computer Systems the two most common causes of delay are Trial and Error and havi...
In Information System Communication Networks diagnostics, delays in troubleshooting happen when ther...
In Information System Communication Networks diagnostics, delays in troubleshooting happen when ther...
This paper had been presented for promotion at the university of Khartoum. To get the full text ple...
In this chapter the knowledge-based neurocomputing will be applied to expert systems. Two main appro...
This paper examines and compares several different approaches to the design of Intelligent Systems f...
Expert networks are networks of neural objects derived from expert systems. The hybrid nature of suc...
Expert systems (ES) are commercially one of the most succesfull use of artificial intelligence (AI) ...
This chapter describes the development of an expert system by a knowledge engineer with pedagogical ...
In information system communication networks diagnostics, delays in troubleshooting happen when ther...
[[abstract]]A major bottleneck in building expert systems is the process of acquiring the required k...
Presented paper deals with preliminary design of an empty expert system suitable for system monitori...
We present a mechanism for recovering consistent data from inconsistent set of assertions. For a com...
The knowledge acquisition process is a crucial stage in the technology of expert systems. However, t...
Abstract: This paper concerns consideration on methods of diagnostic expert systems constr...
In troubleshooting Computer Systems the two most common causes of delay are Trial and Error and havi...
In Information System Communication Networks diagnostics, delays in troubleshooting happen when ther...
In Information System Communication Networks diagnostics, delays in troubleshooting happen when ther...
This paper had been presented for promotion at the university of Khartoum. To get the full text ple...
In this chapter the knowledge-based neurocomputing will be applied to expert systems. Two main appro...
This paper examines and compares several different approaches to the design of Intelligent Systems f...
Expert networks are networks of neural objects derived from expert systems. The hybrid nature of suc...
Expert systems (ES) are commercially one of the most succesfull use of artificial intelligence (AI) ...
This chapter describes the development of an expert system by a knowledge engineer with pedagogical ...
In information system communication networks diagnostics, delays in troubleshooting happen when ther...
[[abstract]]A major bottleneck in building expert systems is the process of acquiring the required k...
Presented paper deals with preliminary design of an empty expert system suitable for system monitori...
We present a mechanism for recovering consistent data from inconsistent set of assertions. For a com...
The knowledge acquisition process is a crucial stage in the technology of expert systems. However, t...