PENGENALAN EKSPRESI RAUT WAJAH BERBASIS JARINGAN SARAF TIRUAN BACKPROPAGATION DENGAN METODE PRINCIPAL COMPONENT ANALYSIS
- Computer Science
The results of this study show that facial pattern Recognition based on the proportion of memorization and generalization for the use of the method without PCA is better than facial pattern recognition using PCA.
SHOWING 1-10 OF 18 REFERENCES
Sensor selection for Kalman filtering of linear dynamical systems: Complexity, limitations and greedy algorithms
- Computer ScienceAutom.
Kalman filter versus IMM estimator: when do we need the latter?
In this paper, a performance comparison between a Kalman filter and the interacting multiple model (IMM) estimator is carried out for single-target tracking. In a number of target tracking problems…
Near-optimal sensor scheduling for batch state estimation: Complexity, algorithms, and limits
- Computer Science2016 IEEE 55th Conference on Decision and Control (CDC)
An algorithm that enjoys both the estimation accuracy of the batch state scheduling algorithms and the low time complexity of the Kalman filtering scheduling algorithms is provided, and has (polynomial) time complexity that is lower than that of the current algorithms for batch state estimation.
Supermodular mean squared error minimization for sensor scheduling in optimal Kalman Filtering
- Business2017 American Control Conference (ACC)
Empirical results confirm that random M-matrices lead to supermodular problems, while this is not the case for generic prior information matrices, and provide a practical application of the findings to an energy-constrained multi robot localization problem.
Dynamic State Estimation in Power System by Applying the Extended Kalman Filter With Unknown Inputs to Phasor Measurements
- EngineeringIEEE Transactions on Power Systems
Availability of the synchronous machine angle and speed variables give us an accurate picture of the overall condition of power networks leading therefore to an improved situational awareness by…
An ensemble Kalman filtering approach to highway traffic estimation using GPS enabled mobile devices
- Computer Science2008 47th IEEE Conference on Decision and Control
A new partial differential equation (PDE) based on the Lighthill-Whitham-Richards PDE, which serves as a flow model for velocity, is introduced and a Godunov discretization scheme is formulated to cast the PDE into a Velocity Cell Transmission Model (CTM-v), which is a nonlinear dynamical system with a time varying observation matrix.
Matrix bounds of the solutions of the continuous and discrete Riccati equations--a unified approach
In this paper, a new scheme is introduced to measure the matrix bounds of the continuous and discrete Riccati equations. By estimating upper and lower matrix bounds of the solution of the unified…
Wavelet based multi-step filtering method for bridge healthmonitoring using GPS and accelerometer
Effective monitoring, reliable data analysis, and rational data interpretations are challenges for engineers who are specialized in bridge health monitoring. This paper demonstrates how to use the…
Applied Optimal Control: Optimization, Estimation, and Control
- EngineeringIEEE Transactions on Systems, Man, and Cybernetics
This best-selling text focuses on the analysis and design of complicated dynamics systems and is recommended by engineers, applied mathematicians, and undergraduates.