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USE OF NONLINEAR DYNAMIC EQUATIONS IN NEURAL NETWORKS TO REPRESENT THE BEHAVIOR OF ACTIVE AND INACTIVE NEURONSстатья
- Автор: Belyakin S.T.
- Сборник: The Sixth International Scientific Conference (MNPS-2022)
- Серия: THE MODELING OF NONLINEAR PROCESSES AND SYSTEMS
- Том: 6
- Год издания: 2023
- Место издания: Федеральном Государственном Бюджетном Образовательное Учреждение Высшего Образования «Московский Государственный Технологический Университет «СТАНКИН» Москва
- Первая страница: 8
- Последняя страница: 11
- Номер статьи: 2
- Аннотация: In this work, we use the structure of an artificial neuron by introducing a nonlinear dynamic equation into the active function. Based on this model, it is supposed to study the state of active and passive neurons. The term neural networks refers to the networks of neurons in the mammalian brain. Neurons are its main units of computation. In the brain, they a connected together in a network to process data. This can be a very complex task, and so the dynamics of neural networks in the mammalian brain in response to external stimuli can be quite complex. The inputs and outputs of each neuron change as a function of time, in the form of so-called spike chains, but the network itself also changes. We learn and improve our data processing capabilities by establishing reconnections between neurons.
- Добавил в систему: Белякин Сергей Тихонович
Прикрепленные файлы
| № | Имя | Описание | Имя файла | Размер | Добавлен |
|---|---|---|---|---|---|
| 1. | Полный текст | The Sixth International Scientific Conference (MNPS-2022) THE MODELING OF NONLINEAR PROCESSES AND SYSTEMS CONFERENCE PROCEEDINGS | sbornik2023.pdf | 11,1 МБ | 25 сентября 2023 [Sergey111] |
| 2. | Результаты экспериментов | USE OF NONLINEAR DYNAMIC EQUATIONS IN NEURAL NETWORKS TO REPRESENT THE BEHAVIOR OF ACTIVE AND INACTIVE NEURONS | USE_OF_NONLINEAR_DYNAMIC_EQUATIONS_IN_NEURAL_NETWORKS_TO_RE… | 556,3 КБ | 25 сентября 2023 [Sergey111] |