A Self-Organized Mapping Neural Network-Based Intelligent Evaluation Model for Business Capacity in Enterprise Management

Zhang, Qi; Zhang, Jiale

doi:10.1109/access.2023.3322320

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Functional Modelling Of Industrial Systems1

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2024

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“…Neural networks have been widely used in pattern recognition [13,14,15,16,17,18]. The initial research on hybrid software systems began in the late 1980s and early 1990s, when the combination of expert systems and neural networks developed relevant application systems and studied the integration patterns of the two.…”

Section: Functional Modelling Of Industrial Systemsmentioning

confidence: 99%

Software Diagnosis as Intelligent Technologies in Industrial System Maintenance

Froes

2024

Preprint

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Because of the particularity of the diagnosis task, the software system is required to correctly identify all possible fault types, especially to prevent misdiagnosis or missing diagnosis of abnormal faults. It is also required to evaluate the severity of the fault and predict the deterioration trend to assist users to make timely and correct responses. After the fault diagnosis task is completed, a decision is made as to whether maintenance is required. If maintenance is required, comprehensive analysis and evaluation of feasible maintenance technical schemes are carried out to select the most satisfactory maintenance schemes.

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Section: Functional Modelling Of Industrial Systemsmentioning

confidence: 99%

Software Diagnosis as Intelligent Technologies in Industrial System Maintenance

Froes

2024

Preprint

View full text Add to dashboard Cite

show abstract

A Self-Organized Mapping Neural Network-Based Intelligent Evaluation Model for Business Capacity in Enterprise Management

Cited by 1 publication

References 30 publications

Software Diagnosis as Intelligent Technologies in Industrial System Maintenance

Software Diagnosis as Intelligent Technologies in Industrial System Maintenance

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