| Title | The Problems of Design and Application of Switching Neural Networks in Creation of Artificial Intelligence |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Sheptunov, Sergey A., Sukhanova, Natalia V. |
| Conference Name | 2020 International Conference Quality Management, Transport and Information Security, Information Technologies (IT QM IS) |
| Date Published | sep |
| Keywords | artificial intelligence, Artificial neural networks, Biological neural networks, control systems, cyber physical systems, Metrics, Neural networks, Neurons, policy-based governance, pubcrawl, Resiliency, Supercomputers, Switches, Training |
| Abstract | The new switching architecture of the neural networks was proposed. The switching neural networks consist of the neurons and the switchers. The goal is to reduce expenses on the artificial neural network design and training. For realization of complex models, algorithms and methods of management the neural networks of the big size are required. The number of the interconnection links "everyone with everyone" grows with the number of neurons. The training of big neural networks requires the resources of supercomputers. Time of training of neural networks also depends on the number of neurons in the network. Switching neural networks are divided into fragments connected by the switchers. Training of switcher neuron network is provided by fragments. On the basis of switching neural networks the devices of associative memory were designed with the number of neurons comparable to the human brain. |
| DOI | 10.1109/ITQMIS51053.2020.9322887 |
| Citation Key | sheptunov_problems_2020 |
The Problems of Design and Application of Switching Neural Networks in Creation of Artificial Intelligence