[PDF][PDF] Scour depth prediction in sand beds using artificial neural networks and ANFIS methods
Abstract Background/Objectives: In this study, the maximum scour depth modeling of Multi-
Layer Perceptron based artificial neural network (MLP), Radial Basis Function based neural …
Layer Perceptron based artificial neural network (MLP), Radial Basis Function based neural …
Speaker identification and Spoken word recognition in noisy background using artificial neural networks
S Shafee, B Anuradha - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Generally Speech Recognition Systems are specific to speech/spoken word recognition or
Speaker Identification/Verification. In this paper, An attempt has been made to find the better …
Speaker Identification/Verification. In this paper, An attempt has been made to find the better …
[PDF][PDF] Analysis of autoregressive predictive models and artificial neural networks for irradiance estimation
Objectives: A model predictive controller was designed for a DC microgrid performed in
Universidad Militar Nueva Granada at Cajica campus, which requires a 24-hours estimation …
Universidad Militar Nueva Granada at Cajica campus, which requires a 24-hours estimation …
[PDF][PDF] Design of multivariable systems controlled by novelty based techniques
V Petchithai, VS Chitra… - Indian Journal …, 2015 - sciresol.s3.us-east-2.amazonaws …
This paper proposes to build up a rotary inverted pendulum; its state space model was
derived using Euler-Lagrange equation. This model was highly nonlinear. Stabilization and …
derived using Euler-Lagrange equation. This model was highly nonlinear. Stabilization and …