Artificial Neural Networks (ANNs) for Spectral Interference Correction Using a Large-Size Spectrometer and ANN-Based Deep Learning for a Miniature One
Artificial neural networks (ANNs) are evaluated for spectral interference correction using simulated and experimentally obtained spectral scans. Using the same data set (where possible), the predictive ability of shallow depth ANNs was validated against partial least squares (PLS, a traditional chem...
- Autores:
- Tipo de recurso:
- Book
- Fecha de publicación:
- 2017
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/16802
- Acceso en línea:
- https://www.intechopen.com/books/advanced-applications-for-artificial-neural-networks/artificial-neural-networks-anns-for-spectral-interference-correction-using-a-large-size-spectrometer
http://hdl.handle.net/20.500.12010/16802
- Palabra clave:
- Biología
Redes neuronales artificiales
Inteligencia artificial -- Robótica
Espectrometría de emisión óptica portátil
- Rights
- License
- Abierto (Texto Completo)