Titlebook: Data Mining and Knowledge Discovery for Process Monitoring and Control; Xue Z. Wang Book 1999 Springer-Verlag London 1999 Artificial Intel

他剪短

書目名稱Data Mining and Knowledge Discovery for Process Monitoring and Control影響因子(影響力)




書目名稱Data Mining and Knowledge Discovery for Process Monitoring and Control影響因子(影響力)學(xué)科排名




書目名稱Data Mining and Knowledge Discovery for Process Monitoring and Control網(wǎng)絡(luò)公開度




書目名稱Data Mining and Knowledge Discovery for Process Monitoring and Control網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Mining and Knowledge Discovery for Process Monitoring and Control被引頻次




書目名稱Data Mining and Knowledge Discovery for Process Monitoring and Control被引頻次學(xué)科排名




書目名稱Data Mining and Knowledge Discovery for Process Monitoring and Control年度引用




書目名稱Data Mining and Knowledge Discovery for Process Monitoring and Control年度引用學(xué)科排名




書目名稱Data Mining and Knowledge Discovery for Process Monitoring and Control讀者反饋




書目名稱Data Mining and Knowledge Discovery for Process Monitoring and Control讀者反饋學(xué)科排名

resilience

Contracture

Mansi Patel,Jeel Padiya,Mangal Singhbe considered in applying FFNN. While the focus will be on FFNN, other supervised models will also be described and compared with FFNN. These include fuzzy FFNN, fuzzy set covering approach and fuzzy signed digraph.

Introduction

1430-9491 y, artificial intelligence, pattern recognition, and causal relationship discovery, as well as signal processing. It also provides a framework for integrating plant operators and supervisors into the design of process monitoring and control systems.978-1-4471-1137-5978-1-4471-0421-6Series ISSN 1430-9491 Series E-ISSN 2193-1577

Emg827

牢騷

牢騷

Supervised Learning for Operational Support,be considered in applying FFNN. While the focus will be on FFNN, other supervised models will also be described and compared with FFNN. These include fuzzy FFNN, fuzzy set covering approach and fuzzy signed digraph.

記成螞蟻

Data Mining and Knowledge Discovery for Process Monitoring and Control

Granular

Xue Z. WangFeatures the subjects of on-line signal preprocessing, feature extraction and concept formation, operational state identification and automatic generation of decision trees and production rules from d

整體