| Description |
1 online resource (xiv, 166 pages) |
| Series |
Research on intelligent manufacturing |
| Contents |
Introduction of Brain Cognition -- The Vision-Brain Hypothesis -- Pheromone Accumulation and Iteration -- Neural Cognitive Computing Mechanisms -- Integration and scheduling of core modules -- Brain-inspired perception, motion and control |
| Summary |
This book presents the latest findings in the field of brain-inspired intelligence and visual perception (BIVP), and discusses novel research assumptions, including an introduction to brain science and the brain vision hypotheses. Moreover, it introduces readers to the theory and algorithms of BIVP - such as pheromone accumulation and iteration, neural cognitive computing mechanisms, the integration and scheduling of core modules, and brain-inspired perception, motion and control - in a step-by-step manner. Accordingly, it will appeal to university researchers, R & D engineers, undergraduate and graduate students; to anyone interested in robots, brain cognition or computer vision; and to all those wishing to learn about the core theory, principles, methods, algorithms, and applications of BIVP |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from digital title page (viewed on March 29, 2019) |
| Subject |
Artificial intelligence.
|
|
artificial intelligence.
|
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Artificial intelligence
|
| Form |
Electronic book
|
| ISBN |
9789811335495 |
|
9811335494 |
|
