Multi-weight connected artificial neural network models in classification problems
Keywords:
Object classification, artificial neural networks, artificial neural error, convolutional neural networks, residual neural networks, neural model.Business-to-consumer (B2C)Abstract
Classification of objects in classification problems is an important problem in multi
weighted artificial neural network models, which has attracted the attention of many researches in
recent years, processes based on extensive analysis of problems through mathematical models and
artificial intelligence. we observed. One such approach is artificial neural network models, which
simultaneously calculate the processes of working with several types of objects in a large image.
Therefore, residual neural networks have grown significantly. In this article, we have considered
the topics related to the issues related to the models of artificial neural networks. Later, we will
learn about artificial neural networks, convolutional and residual neural networks and their
common models. We have expressed our thoughts about the models mentioned in the problem of
classification of multi-weight connected artificial neurons.
