Review of Face Detection Systems Based Artificial Neural Networks Algorithms

Face detection is one of the most relevant applications of image processing and biometric systems. Artificial neural networks (ANN) have been used in the field of image processing and pattern recognition. There is lack of literature surveys which give overview about the studies and researches related to the using of ANN in face detection. Therefore, this research includes a general review of face detection studies and systems which based on different ANN approaches and algorithms. The strengths and limitations of these literature studies and systems were included also.Comment: 16 pages, 12 figures, 1 table, IJMA Journa

REVIEW OF FACE DETECTION SYSTEMS BASED ARTIFICIAL NEURAL NETWORKS ALGORITHMS

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NONLINEAR AUTOREGRESSIVE NEURAL NETWORK FOR ESTIMATION SOIL TEMPERATURE: A COMPARISON OF DIFFERENT OPTIMIZATION NEURAL NETWORK ALGORITHMS

The objective of this paper is to develop an Artificial Neural Network (ANN) model to estimate soil temperature for any day. We used air average temperature, sunshine, radiation and soil temperature for meteorological data between years [1980 and 1984] at Nineveh/Iraq Meteorological Station. In this research, three ANN models with their associated training algorithms (Backpropagation neural network (BPNN), Cascade-Forward and Nonlinear Autoregressive (NARX)) were used for estimating soil temperatures at differen