Deep Neural Networks

I Single-Input-Single-Output Neuronet 1 Single-Input Euler-PolynomialWASD Neuronet 2 Single-Input Bernoulli-PolynomialWASD Neuronet 3 Single-Input Laguerre-PolynomialWASD Neuronet II Two-Input-Single-Output Neuronet 4 Two-Input Legendre-PolynomialWASD Neuronet 5 Two-Input Chebyshev-Polynomial-of-Class-1WASD Neuronet 6 Two-Input Chebyshev-Polynomial-of-Class-2WASD Neuronet III Three-Input-Single-Output Neuronet 7 Three-Input Euler-PolynomialWASD Neuronet 8 Three-Input Power-ActivationWASD Neuronet IV General Multi-Input Neuronet 9 Multi-Input Euler-PolynomialWASD Neuronet 10 Multi-Input Bernoulli-PolynomialWASD Neuronet 11 Multi-Input Hermite-PolynomialWASD Neuronet 12 Multi-Input Sine-ActivationWASD Neuronet V Population Applications Using Chebyshev-Activation Neuronet 13 Application to Asian Population Prediction 14 Application to European Population Prediction 15 Application to Oceania Population Prediction 16 Application to Northern American Population Prediction 17 Application to Indian Subcontinent Population Prediction 18 Application toWorld Population Prediction VI Population Applications Using Power-Activation Neuronet 19 Application to Russian Population Prediction 20 WASD Neuronet versus BP Neuronet Applied to Russia Population Prediction 21 Application to Chinese Population Prediction 22 WASD Neuronet versus BP Neuronet Applied to Chinese Population Prediction VII Other Applications 23 Application to USPD Prediction 24 Application to Time Series Prediction 25 Application to GFR Estimation

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• Algoritmos e estruturas de dados
• As redes neurais e sistemas nebulosos