Artificial Cognitive Architecture with Self Learning and Self Optimization Capabilities is popular PDF and ePub book, written by Gerardo Beruvides in 2018-12-14, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Artificial Cognitive Architecture with Self Learning and Self Optimization Capabilities can be Read Online from any device for your convenience.

Artificial Cognitive Architecture with Self Learning and Self Optimization Capabilities Book PDF Summary

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 the specific case of the micromachining processes, a series of models based on linear regression, nonlinear regression and artificial intelligence techniques were obtained. On the other hand, the executive level has a constant interaction with the process to be monitored and/or controlled. This level receives the configuration and parameterization from the cognitive level to perform the desired monitoring and control tasks.

Detail Book of Artificial Cognitive Architecture with Self Learning and Self Optimization Capabilities PDF

Artificial Cognitive Architecture with Self Learning and Self Optimization Capabilities
  • Author : Gerardo Beruvides
  • Release : 14 December 2018
  • Publisher : Springer
  • ISBN : 9783030039493
  • Genre : Technology & Engineering
  • Total Page : 195 pages
  • Language : English
  • PDF File Size : 7,8 Mb

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