NEURAL NETWORK APPROACH TO COGNITIVE MODELING
Some features of cognitive modeling are presented, including the prerequisites for a cognitive approach to solving complex problems. Cognitive modeling involves the use of various artificial neural networks, including convolutional neural networks. The classification of artificial neural networks according to various characteristics is given. The features of self-organizing neural networks and networks using deep learning methods are considered. The artificial neural network, which is a three-layer unidirectional direct propagation network, the interface of a computer program used to approximate functions using the specified neural network, as well as the solution of the image recognition problem using an artificial convolutional neural network, in which the neural network parameters are adjusted for each recognizable image fragment in order to adaptively filter the image, are considered in detail. The analysis of images in video surveillance systems in order to detect fires allows them to be detected at an early stage and, thus, prevent the fire propogation.
Authors
- Alexander Labinsky
Institutions
- Academy of the State Fire Service EMERCOM of Russia (RU)
Publication Details
- Journal
- MONITORING AND EXPERTISE IN SAFETY SYSTEM
- Published
- 2024-10-22
- DOI
- https://doi.org/10.61260/2304-0130-2024-3-38-44
- Primary Topic
- Cognitive Science and Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00