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Medical Diagnosis and Treatment Plans Derived from a Hybrid Expert System
Published in Abraham Kandel, Gideon Langholz, Lotfi A. Zadeh, Hybrid Architectures for Intelligent Systems, 2020
D. L. Hudson, M. E. Cohen, P. W. Banda, M. S. Blois
The system described here demonstrates the practical feasibility of combining a rule-based expert system with a connectionist expert system determined through neural network modeling. The result is a decision aid which can function more efficiently and more accurately than either approach alone.
Hybrid Systems
Published in Paresh Chra Deka, A Primer on Machine Learning Applications in Civil Engineering, 2019
A hybrid system that combines a neural network and a rule-based expert system is called a neural expert system (or a connectionist expert system). Figure 6.1 shows the basic structure of a neural expert system.
Application of Artificial Intelligence in Detection and Mitigation of Human Factor Errors in Nuclear Power Plants: A Review
Published in Nuclear Technology, 2023
Meenu Sethu, Bhavya Kotla, Darrell Russell, Mahboubeh Madadi, Nesar Ahmed Titu, Jamie Baalis Coble, Ronald L. Boring, Klaus Blache, Vivek Agarwal, Vaibhav Yadav, Anahita Khojandi
While most research on decision support systems is based on modern machine learning algorithms, several intelligent operator support systems that adopted knowledge-based systems (KBSs) have been reported in the literature.21,22,29,41–43 The most popular knowledge-based AI system is an expert system. An expert system is an AI program that emulates the decision-making ability of a human expert. Uhrig21 provides a survey of the different potential applications of expert systems in nuclear plants to reduce operator error and increase plant safety, reliability, and efficiency. Varde et al.44 implement a hybrid expert system combining the advantages of ANNs and KBSs to enhance the decision-making ability of the operator while coping with operational requirements, particularly during abnormal conditions. In this study, the ANN monitors the reactor’s safety status while the KBS module performs the fault diagnosis and procedure generation. Uhrig and Tsoukalas29 discuss the use of an expert system that has a neural network in its knowledge base, called a connectionist expert system, for identification of transients in NPPs that yielded great benefits in terms of speed, robustness, and knowledge acquisition. Further, they report the robust performance of hybrid neuro-fuzzy approaches that couple a rule-based expert system with pretrained ANNs using fuzzy logic in the presence of noise.