Журнал академических исследований нового УзбекистанаNusratulloh Muxtorov2025
Neuron Mesh Networks
Babirjon Hamroyev (Asia international University , " General Technician Department of Sciences teacher)
Медицина, педагогика и технологии: теория и практика · 202-210 · 2024
Аннотация
This in the article neuron netted networks artificial of intellect important from directions one as is studied . Neuron networks a person brain and of neurons work principles based on created big in volume information again work and analysis in doing important role plays In the article neuron of networks history , structure , activation functions and study processes in detail seeing will be released . Deep deep learning approaches and neuron of networks different in the fields , including medicine , automobile industry , finance technologies and another in the fields application also information about given In the future neuron networks development directions , including hybrid models and quantum computers with depends achievements about thought maintained. This article neuron networks about wide to understanding have to be and their modern in technologies place about deep information get for important source being service does
Доказательный фрагмент
«This in the article neuron netted networks artificial of intellect important from directions one as is studied .»
Образец извлечения
Демо-превьюThis in the article neuron netted networks artificial of intellect important from directions one as is studied . Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.
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- Тип
- Журнал
- Страна
- Узбекистан
- Ключевые слова
- Neuron netted networks, Artificial intellect, Deep learning (Deep Learning), Activation functions, the machine learning (Machine Learning), Back spread algorithm (Backpropagation), Convolutional neuron networks (CNN), Recursive neuron networks (RNN), Optimization Algorithms of Gradient decrease (Gradient Descent), Quant computers, Hybrid models, Image Familiar, Time Sequence, Artificial neuron models .
Смежные источники
Медицина и инновацииМ Сабиров, О Скосырева +12021
Научные статьиM.H.Sayidova, S.U.Pulatova2025