Name: Artificial Cognitive Architecture With Self-Learning and Self-Optimization Capabilities: Case Studies in Micromachining Processes (Springer Theses)
SKU: 51404078
Price: 3368.00 TWD
Availability: InStock
Author: Gerardo Beruvides
ISBN: 9783030039486

portada Artificial Cognitive Architecture With Self-Learning and Self-Optimization Capabilities: Case Studies in Micromachining Processes (Springer Theses)

Artificial Cognitive Architecture With Self-Learning and Self-Optimization Capabilities: Case Studies in Micromachining Processes (Springer Theses)

Type

Physical Book

Publisher

Springer

Author

Gerardo Beruvides

Year

2018

Language

English

Pages

195

Format

Hardcover

ISBN13

9783030039486

Synopsis "Artificial Cognitive Architecture With Self-Learning and Self-Optimization Capabilities: Case Studies in Micromachining Processes (Springer Theses) "

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.

Customers reviews

Have you read this book? Login to add your review.

More customer reviews

0% (0)
0% (0)
0% (0)
0% (0)
0% (0)

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews

Artificial Cognitive Architecture With Self-Learning and Self-Optimization Capabilities: Case Studies in Micromachining Processes (Springer Theses) - Gerardo Beruvides

Synopsis "Artificial Cognitive Architecture With Self-Learning and Self-Optimization Capabilities: Case Studies in Micromachining Processes (Springer Theses) "

Customers reviews

Frequently Asked Questions about the Book

Is the book original?

In what language is the book written?

What is the format of this book?

Questions and Answers about the Book

Opinions about Bookdelivery