COMPARATIVE ANALYSIS OF NEURAL NETWORK ALGORITHMS FOR OBJECTS SEGMENTATION ON AERIALIMAGES neural networks for the detection of objects of three classes: "water", "forest", "agriculture" on aerial
Hierarchical multispectral image classification based on self organized maps, and it could not be solved in a common case. We propose a new approach, based on the artificial
neural networks Skin cancer classification computer system development with deep learning lesions is proposed. For this purpose, the deep
neural network architecture was developed and applied
Evolution of Artificial Neural NetworksThe history of artificial
neural networks originates
from the distant 1943, when Warren Mc