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Titlebook: Brain-Inspired Intelligence and Visual Perception; The Brain and Machin Wenfeng Wang,Xiangyang Deng,Limin Zhang Book 2020 Huazhong Universi

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发表于 2025-3-21 17:39:33 | 显示全部楼层 |阅读模式
期刊全称Brain-Inspired Intelligence and Visual Perception
期刊简称The Brain and Machin
影响因子2023Wenfeng Wang,Xiangyang Deng,Limin Zhang
视频video
发行地址Presents and applies the hypothesis of machine brain vision.Integrates machine brain cognition with its visual perception.Establishes a systematic framework of brain-inspired intelligence.Links robots
学科分类Research on Intelligent Manufacturing
图书封面Titlebook: Brain-Inspired Intelligence and Visual Perception; The Brain and Machin Wenfeng Wang,Xiangyang Deng,Limin Zhang Book 2020 Huazhong Universi
影响因子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. .
Pindex Book 2020
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发表于 2025-3-21 23:09:36 | 显示全部楼层
,The Vision–Brain Hypothesis,tention could be regulated without brain-inspired objects detection and tracking. This could be highlighted by the difference in attention mechanisms between the manned and unmanned systems. Regulated attention in unmanned systems has a significant implication to the robots’ cognition accuracy and r
发表于 2025-3-22 01:16:11 | 显示全部楼层
Pheromone Accumulation and Iteration,n mechanisms and processes are explicitly illustrated. Based on the hypothesis, robots can recognize obstacles, and therefore, to solve the robot path-planning problem, it remains to decide the optimal path to the targets or the regions of interest. Differing from most studies on the robot path plan
发表于 2025-3-22 07:45:04 | 显示全部楼层
发表于 2025-3-22 10:33:18 | 显示全部楼层
发表于 2025-3-22 14:10:18 | 显示全部楼层
Brain-Inspired Perception, Motion and Control,al path planning) and control (robots’ behavior management) is further presented. Based on the results from Chaps. .–., a conceptual model is established to evaluate cognition efficiency of the vision–brain, taking danger recognition as an example. Based on the vision hypothesis, the underwater robo
发表于 2025-3-22 19:46:30 | 显示全部楼层
Wenfeng Wang,Xiangyang Deng,Limin ZhangPresents and applies the hypothesis of machine brain vision.Integrates machine brain cognition with its visual perception.Establishes a systematic framework of brain-inspired intelligence.Links robots
发表于 2025-3-22 21:59:02 | 显示全部楼层
Research on Intelligent Manufacturinghttp://image.papertrans.cn/b/image/190307.jpg
发表于 2025-3-23 02:03:46 | 显示全部楼层
发表于 2025-3-23 06:17:04 | 显示全部楼层
https://doi.org/10.1007/978-1-349-27931-9mplement these mechanisms and advances the concepts of “brain-inspired object detection” and “brain-inspired compressive tracking,” respectively. Algorithms for swarm intelligence are interpreted as an integration of deep learning with target impulse responses, defining the selected objects in video
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