Documentos de Jose Ignacio Pelaez | REDI

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Mostrando 6 resultados de: 6

Filtros aplicados

Área de conocimiento: "Red neuronal artificial"

Subtipo de publicación

Conference Object(3)

Publisher

International Journal of Computational Intelligence Systems(2)

Advances in Intelligent Systems and Computing(1)

Applied Mathematics and Computation(1)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(1)

Proceedings of the 12th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2008(1)

Área temáticas

Ciencias de la computación(3)

Dirección general(1)

Economía financiera(1)

Enfermedades(1)

Funcionamiento de bibliotecas y archivos(1)

Área de conocimiento

Ciencias de la computación(3)

Enfermedad cardiovascular(1)

Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura(6)

ODS 17: Alianzas para lograr los objetivos(4)

ODS 8: Trabajo decente y crecimiento económico(4)

ODS 3: Salud y bienestar(2)

ODS 10: Reducción de las desigualdades(1)

Año de Publicación

Origen

Palabras Claves

Pairwise matrix reconstruction(3)

multi-layer perceptron(3)

Decision Support Systems(2)

A System of Insolvency Prediction for industrial companies using a financial alternative model with neural networks

Abstract: We find in the accounting literature the use of neural networks (NN) for the prediction of insolvenc

Palabras claves:

Bankruptcy pbkp_rediction, Cbkp_redit risk, Financials ratios, Neural networks

Callejón A., Casado A.M., Fernández M., Jose Ignacio Pelaez

Estimation of missing judgments in AHP pairwise matrices using a neural network-based model

Abstract: Selecting relevant features to make a decision and expressing the relationships between these featur

Palabras claves:

AHP, Decision Support Systems, multi-layer perceptron, Neural networks, Pairwise matrix reconstruction

Gomez-Ruiz J.A., Jose Ignacio Pelaez, Karanik M.

Improving the consistency of AHP matrices using a multi-layer perceptron-based mode

Conference Object

Abstract: The Analytic Hierarchy Process (AHP) uses hierarchical structures to arrange comparing criteria and

Palabras claves:

AHP, Decision Support Systems, multi-layer perceptron, neural network, Pairwise matrix reconstruction

Gomez-Ruiz J.A., Jose Ignacio Pelaez, Karanik M.

Incomplete AHP pairwise matrix reconstruction using a neural network-based model

Conference Object

Abstract: The Analytic Hierarchy Process (AHP) is a decision making method that has been widely used to obtain

Palabras claves:

AHP, decision support system, multi-layer perceptron, Pairwise matrix reconstruction

Gomez-Ruiz J.A., Jose Ignacio Pelaez, Karanik M.

Expert System of Ischemia Classification Based on Wavelet MLP

Conference Object

Abstract: This paper proposes an expert system capable of identifying pathological ECG with signs of ischemia.

Palabras claves:

classification, DWT, ECG ischemia, Expert System, MLP

Fornari J., Jose Ignacio Pelaez

Ischemia classification via ECG using MLP neural networks

Abstract: This paper proposes a two stage system based in neural network models to classify ischemia via ECG a

Palabras claves:

classification, DWT, eCG, ischemia, MLP

Doña J.M., Fornari J., Jose Ignacio Pelaez, Serra G.