基于神经形态自学习系统的高危对象管理操作人员心理情绪状态声学监测

2020 13th International Conference "Management of large-scale system development" (MLSD) Pub Date : 2020-09-28 DOI:10.1109/MLSD49919.2020.9247823

A. Alyushin, V. Arkhangelsky, S. Alyushin

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引用次数: 2

摘要

利用现代元素库(处理环境)——具有空间参数自学习的分形记忆结构形式的统一神经形态平台，实现了对作战人员心理情绪状态定义的高置信度。实验研究表明，该平台能够综合作战人员心理情绪状态信息表征的新结构解和“维度”。

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Acoustic Monitoring of the Psycho-Emotional State of Operational Personnel in the Management of High-Risk Objects Based on Neuromorphic Self-Learning Systems

High confidence in the definition of operational personnel psycho-emotional statе is achieved by using a modern element base (processing environment) - a unified neuromorphic platform in the form of a fractal memristive structure with space-parametric self-learning. Experimental study of the proposed platform revealed its ability to synthesize new structural solutions and "dimensions" of the operational personnel psycho-emotional statе information representation.

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2020 13th International Conference "Management of large-scale system development" (MLSD)

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