Um estudo sobre previsão da demanda de encomendas utilizando uma rede neural artificial
Arthur de Sá Ferreira,Ricardo Pinto Ferreira,Andréa Martiniano da Silva,Aleister Ferreira,Renato José Sassi +4 more
- 01 Aug 2016
Vol. 2, Iss: 1, pp 353-364
About: The article was published on 01 Aug 2016. and is currently open access.
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Citations
Análise de Desempenho com Redes Neurais Artificiais, Arquiteturas MLP e RBF para um Problema de Classificação de Crianças com Autismo
TL;DR: A metodologia foi implementada com base em 292 amostras de individuos de um banco de dados publico, atraves da ferramenta Matlab R2015a, dividas em 10 partes com validacao cruzada as mentioned in this paper.
Fatores que influenciam no aprendizado dos estudantes da Olimpíada Pernambucana de Matemática
Flávio Leandro Morais,Mirele Moutinho,Filipe Soares,Roberta Andrade de Araújo Fagundes,Wylliams Barbosa Santos +4 more
- 24 Nov 2020
TL;DR: In this article, the importance of Pernambuco Olympics in Mathematics (OPEMAT) and its impact on teaching and learning mathematics in the state of Brazil is investigated.
Avaliação de RNAs Durante Treinamento Supervisionado Para Classificação de Adolescentes com Autismo
Rhyan Ximenes de Brito,Carlos Alexandre Rolim Fernandes,Janaide Nogueira de Sousa Ximenes +2 more
- 10 Sep 2020
TL;DR: A study was carried out through the implementation and analysis of the neural networks ELM and MLP, comparing the accuracy resulting from training with data from adolescents with or without ASD, based on a public database of 99 samples and the k-fold cross-validation technique with and without zscore normalization.
Measures in organizational behavior: why don’t we use big data and analytics?
TL;DR: In this article, the authors systematically reviewed the methodological choices in Brazilian articles and books to answer the following question: why are there no Brazilian studies on organizational behavior that use big data or analytics? Among 1062 research articles on organizational behaviour, published in 19 psychology and business journals, 68% used scales, and only 10% used observation.
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Learning internal representations by error propagation
David E. Rumelhart,Geoffrey E. Hinton,Ronald J. Williams +2 more
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Data mining with neural networks: solving business problems from application development to decision support
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TL;DR: This book illustrates the popular data mining functions of classification, clustering, modeling, and time-series forecasting--through examples developed using the IBM Neural Network Utility.
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