Application of Neuro-Fuzzy in the Recognition of Control Chart Patterns

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Application of Neuro-Fuzzy in the Recognition of Control Chart Patterns

The control chart (CC) is an important tool in Statistical Process Control (SPC) to improve the quality of products and processes. An unnatural variation in control maps assumes that an assignable cause affects the process is present, and some actions need to be applied to solve the problem. Thanks to their better recognition capability, NEURO-FUZZY is a powerful tool for process control and ra...

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Application of Neuro-Fuzzy in the Recognition of Control Chart Patterns

The control chart (CC) is an important tool in Statistical Process Control (SPC) to improve the quality of products and processes. An unnatural variation in control maps assumes that an assignable cause affects the process is present, and some actions need to be applied to solve the problem. Thanks to their better recognition capability, NEURO-FUZZY is a powerful tool for process control and ra...

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Application of Neuro-Fuzzy in the Recognition of Control Chart Patterns

The control chart (CC) is an important tool in Statistical Process Control (SPC) to improve the quality of products and processes. An unnatural variation in control maps assumes that an assignable cause affects the process is present, and some actions need to be applied to solve the problem. Thanks to their better recognition capability, NEURO-FUZZY is a powerful tool for process control and ra...

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ژورنال

عنوان ژورنال: International Journal of Computer Applications

سال: 2017

ISSN: 0975-8887

DOI: 10.5120/ijca2017914007