REALIZATION OF ALGORITHM OF SELF-GENERATING NEURAL NETWORKS
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Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Faculty of Engineering and Natural Sciences
Abstract
The development of various spheres of human activity is associated with the generation and accumulation of a huge amount of data that can contain the most important practical information. However, significant benefit from this information can be extracted only with proper processing and analysis of this data. Recently, there has been an increased interest in the field of artificial intelligence, and methods of automating the extraction of knowledge based on data mining are actively developing. Self-generating neural networks are built on the principle of biological, of course, with a number of assumptions, they have a huge number of simple processes with many connections. Like the human brain, these networks | are capable of learning. Self-generating neural networks find their application in areas such as computer vision, speech recognition, processing of natural language, etc. The thesis provides anâanalysis of the development of the theory of neural networks, their classification and mathematical formulation of the task of recognizing pattern recognition.
Description
Keywords
neural network, machine learning, sentiment analysis, self-generating neural network
Citation
Abdikhaliyev Y / REALIZATION OF ALGORITHM OF SELF-GENERATING NEURAL NETWORKS / 6M060100 - Department of Mathematics and Natural Sciences / 2023