Implementation of an Object Recognizer Through Image Processing and Backpropagation Learning Algorithm
Abstract:
Artificial neural networks in an effort to emulate the operation of the human brain from the point of view of learning and adaptation, have evolved in such a way that different statistical and mathematical models have inspired biological models, example you have to nerve cells or better known as neurons; the same ones that are composed of dendrites which are responsible for capturing the nerve impulses emitted by other neurons. The present study aims to analyze the Backpropagation model and the multilayer topology using an object recognizer through digital image processing such as object segmentation by detection and edge determination.
Año de publicación:
2021
Keywords:
- neural network
- Pixel
- Synapse
- Backpropagation
- perceptron
- Optics
- Digital imaging
- RNA
- machine vision
Fuente:
google
scopus
Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Visión por computadora
- Ciencias de la computación
- Ciencias de la computación
Áreas temáticas:
- Métodos informáticos especiales