A Performance Analysis of Face Recognition Based on Artificial Neural Network
Journal Title: International Journal of Science Engineering and Advance Technology - Year 2013, Vol 1, Issue 5
Abstract
Face recognition is bearing in mind and recognizing a face of individual, like a visual pattern recognition that enables the system to verify or identify individual faces that is taken from imaging system. In this paper we tried to show that a face recognition that uses a tanh activation function would have a better or lower mean squared error instead of using the Logistic Sigmoid activation function. The network was trained several times on different ideal input and noisy images that are taken from imaging devices like camera. In this case training a network on different sets of noisy images forced the network to learn how to deal with noise image by using a tanh activation function.
Authors and Affiliations
Abrham Debasu Mengistu| M.Sc. (Computer Science) School of Computing and Electrical Engineering IOT, Bahir Dar University Ethiopia, Dr. Vuda Sreenivasarao| Professor School of Computing and Electrical Engineering IOT, Bahir Dar University Ethiopia, INDIA
Fast Nearest Neighbour Search Aims At Optimizing Different Objective Functions Using Si- Index
Several modern applications call for novel forms of queries that aspire to find objects pleasing both a spatial predicate and a predicate on their associated texts. The significance of spatial databases is reflected...
A Grid Level High Power Back To Back System Using Modular Multilevel Cascade Converter Without Dc Link Capacitor
In this paper a fuzzy logic controller have been designed for back-to back (BTB) system unifying two modular multilevel cascade converters (MMCCs). Based on double-star chopper cells BTB system designed. The two DSCC...
The significance of skyline brings about numerous applications, for example, multi-criteria basic leadership, information mining, and data prescribed frameworks. Horizon inquiries are valuable for finding intriguing...
Closed Loop Fuzzy Logic Control of High Voltage Gain Interleaved Boost Converter fed 3-Ï• BLDC Motor Drive
This paper presents Brush Less DC Motor (BLCDM) driven by an efficient closed loop fuzzy logic based high voltage gain interleaved boost converter. The functioning of the high voltage gain interleaved boost converter...
Power Quality Improvement in 3P4W System Using Unified Power Quality Conditioner (UPQC) with P-Q Theory
Unified power quality conditioners (UPQCs) allow the mitigation of voltage and current disturbances that could affect sensitive electrical loads while compensating the load reactive power. Diverse control techniques...