Papers by KARINA CARVAJAL
y Educación. Sus más recientes publicaciones son: Práctica docente en el aula multigrado rural de... more y Educación. Sus más recientes publicaciones son: Práctica docente en el aula multigrado rural de una población mexicana", en Educacacao e Pesquisa, Revista da Faculdade de Educacao da Universidade de Sao Paulo (2005); "Pareja, estimulación y desarrollo del infante en zona rural en pobreza extrema", en la Revista Mexicana de Investigación Educativa (2005); "Juegos, estimulación en el hogar y desarrollo del niño en una zona rural emprobrecida", en la Revista CNEIP Enseñanza e Investigación en Psicología (2006).
Technology advances in semiautogenous milling have not been accompanied by advances in the operat... more Technology advances in semiautogenous milling have not been accompanied by advances in the operation of these mills, mainly in the estimates of load levels and the power of the mill. This article presents a grey box model that improves estimate of power. The obtained results are satisfactory and demonstrate that both the phenomenological model and the neural network strengthen each other, and the results are better than those obtained individually.
A method of moving horizon state estimation (MHSE) including a recurrent neural network as the dy... more A method of moving horizon state estimation (MHSE) including a recurrent neural network as the dynamic model is used as an estimator of the filling level of the mill for a semiautogenous ore grinding process. The results are compared to those of a simple neural network acting as an estimator. They show the advantages of the Neural-MHSE, especially concerning robustness under large perturbations of the state variables (index of agreement > 0.9), which would favor its application to industrial scale processes.
Technology advances in semiautogenous milling have not been accompanied by advances in the operat... more Technology advances in semiautogenous milling have not been accompanied by advances in the operation of these mills, mainly in the estimates of load levels and the power of the mill. This article presents a grey box model that improves estimate of power. The obtained results are satisfactory and demonstrate that both the phenomenological model and the neural network strengthen each other, and the results are better than those obtained individually.
A method of moving horizon state estimation (MHSE) including a recurrent neural network as the dy... more A method of moving horizon state estimation (MHSE) including a recurrent neural network as the dynamic model is used as an estimator of the filling level of the mill for a semiautogenous ore grinding process. The results are compared to those of a simple neural network acting as an estimator. They show the advantages of the Neural-MHSE, especially concerning robustness under large perturbations of the state variables (index of agreement > 0.9), which would favor its application to industrial scale processes.
Guayllabamba, 03 de febrero del 2013 CERTIFICADO YO, Karina Victoria Carvajal Martínez con C.I. 1... more Guayllabamba, 03 de febrero del 2013 CERTIFICADO YO, Karina Victoria Carvajal Martínez con C.I. 172178698-4 certifico al Sr. Telio Enrique Duque Estévez portador de C.i. 171310005-3, q le conozco durante el tiempo de 7 años, en los cuales ha demostrado SER UNA PERSONA HONORABLE, DE CONFIANZA Y DE MUCHO RESPETO. Es todo cuanto puedo decir en honor a la verdad, el mencionado antes puede hacer uso del presente según estime conveniente. ATENTAMENTE SRA, KARINA CARVAJAL 172178698-4
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Papers by KARINA CARVAJAL