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Process trends temporal pattern recognition

None of the practiced compression techniques satisfies all of these requirements. In addition, it should be remembered that compression of process data is not a task in isolation, but it is intimately related to the other two subjects of this chapter (1) description of process trends and (2) recognition of temporal patterns in process trends. Consequently, we need to develop a common theoretical framework, which will provide a uniformly consistent basis for all three needs. This is the aim of the present chapter. [Pg.215]

Reasoning in Time Modeling, Analysis, and Pattern Recognition of Temporal Process Trends... [Pg.9]

REASONING IN TIME MODELING, ANALYSIS, AND PATTERN RECOGNITION OF TEMPORAL PROCESS TRENDS... [Pg.206]

Alexandras Koulouris, Bhavik R. Bakshi and George Stephanopoulos, Empirical Learning through Neural Networks The Wave-Net Solution Bhavik R. Bakshi and George Stephanopoulos, Reasoning in Time Modeling, Analysis, and Pattern Recognition of Temporal Process Trends... [Pg.233]

See other pages where Process trends temporal pattern recognition is mentioned: [Pg.10]    [Pg.206]    [Pg.213]    [Pg.346]    [Pg.232]    [Pg.222]    [Pg.295]    [Pg.191]    [Pg.198]    [Pg.232]   


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