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ARTIFICIAL COGNITIVE ARCHITECTURE WITH SELF -LEARNING AND SELF-OPTIMIZATION CAPABILITIES : ... case studies in micromachining processes by Gerardo Beruvides; SpringerLink (Online service) is a nonfiction available to read on EtoBox.

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"This book introduces three key issues: (i) development of a gradient-free method to enable multi-objective self-optimization; (ii) development of a reinforcement learning strategy to carry out self-learning and finally, (iii) experimental evaluation and validation in two micromachining processes (i.e., micro-milling and micro-drilling). The computational architecture (modular, network and reconfigurable for real-time monitoring and control) takes into account the analysis of different types of sensors, processing strategies and methodologies for extracting behavior patterns from representative process' signals. The reconfiguration capability and portability of this architecture are supported by two major levels: the cognitive level (core) and the executive level (direct data exchange with the process). At the same time, the architecture includes different operating modes that interact with the process to be monitored and/or controlled. The cognitive level includes three fundamental modes such as modeling, optimization and learning, which are necessary for decision-making (in the form of control signals) and for the real-time experimental characterization of complex processes. In t

Who reads ARTIFICIAL COGNITIVE ARCHITECTURE WITH SELF -LEARNING AND SELF-OPTIMIZATION CAPABILITIES : ... case studies in micromachining processes?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Gerardo Beruvides; SpringerLink (Online service)
Publisher
Springer International Publishing : Imprint: Springer
Published
2019
Language
EN
ISBN
9783030039493
Category
nonfiction
Subjects
Engineering, Computer Science, Stem

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