La inteligencia artificial en la detección de radiogalaxias.
Resumen
El artículo aborda la inteligencia artificial y el aprendizaje automático, aplicándose dos algoritmos de aprendizaje automático de referencia: el árbol de decisión y la red neuronal de propagación hacia atrás implementada en el 30% del conjunto de datos Galaxy para observar y analizar el rendimiento de clasificación de técnicas de aprendizaje automático. Una muestra de fuentes de radio con una luminosidad de radio de 1.4 GHz, S1.4> 10mJy, que emplea una nueva técnica más eficiente que métodos anteriores, como un índice espectral pronunciado o un tamaño angular pequeño, utilizando datos del infrarrojo cercano para filtrar a baja, utilizan radiogalaxias con desplazamiento al rojo (z <2) al incluir solo fuentes con una identificación muy débil o sin detección en la banda K o a 3,6 μm.
Citas
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