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Variational studies and replica symmetry breaking in the generalization problem of the binary perceptron
(2000-11-01)
We analyze the average performance of a general class of learning algorithms for the nondeterministic polynomial time complete problem of rule extraction by a binary perceptron. The examples are generated by a rule implemented ...
Variational studies and replica symmetry breaking in the generalization problem of the binary perceptron
(2000-11-01)
We analyze the average performance of a general class of learning algorithms for the nondeterministic polynomial time complete problem of rule extraction by a binary perceptron. The examples are generated by a rule implemented ...
Rainfall prediction methodology with binary multilayer perceptron neural networks
(2019-02-15)
Precipitation, in short periods of time, is a phenomenon associated with high levels of uncertainty and variability. Given its nature, traditional forecasting techniques are expensive and computationally demanding. This ...
Analysis and Recognition of Standards in Intelligent Hybrid Systems using Natural Computing
(2021-01-01)
Abstract. This work shows the application of one of the techniques of bioengineering, the perceptron network in the detection of system failures, and also allows the use of the perceptron network technique in choosing the ...
Uma abordagem baseada em Perceptrons balanceados para geração de ensembles e redução do espaço de versões
(Universidade Federal de Juiz de Fora (UFJF)BrasilICE – Instituto de Ciências ExatasPrograma de Pós-graduação em Ciência da ComputaçãoUFJF, 2017)
Comparison of Regression and Neural Networks Models to Estimate Solar Radiation
(Instituto de Investigaciones Agropecuarias, INIA, 2010)