| Description |
1 online resource (511 pages) |
| Physical Medium |
polychrome |
| Description |
text file |
| Note |
Description based upon print version of record. |
| Contents |
Intro -- Contents -- Preface -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 |
| Summary |
Different industries use data analytics and the process modelling technique successfully in a variety of ways. These popular intelligent approaches improve the quality and quantity of production. This book focuses on the technique of soft-sensing based on spectral data with multi-source high-dimensional mechanical frequency in order to assess difficult-to-measure process parameters. The book will be of interest to researchers and professors working in data analytics, engineers and technicians who need a modelling method based on small sample data, and PhD students who need to solve modelling a. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Signal processing.
|
|
Signal processing. |
|
Frequency spectra.
|
|
Frequency spectra. |
|
Manufacturing processes -- Mathematical models.
|
|
Manufacturing processes -- Mathematical models. |
|
Industry & industrial studies. |
|
Artificial intelligence. |
|
Machine learning. |
| Added Author |
Yu, Wen.
|
| Other Form: |
Print version: Tang, Jian Industrial Process Modelling with Mechanical Frequency Spectrum Data Newcastle-upon-Tyne : Cambridge Scholars Publisher,c2020 9781527548664 |
| ISBN |
1527558959 |
|
9781527558953 (electronic book) |
|
152754866X |
|
9781527548664 |
|
