arabic word recognition using wavelet neural network

مجلة الرافدين لعلوم الحاسوب والرياضيات لسنة ٢٠١٠
وقائع المؤتمر العلمي الثالث في تقانة المعلومات
كلية علوم الحاسوب والرياضيات – جامعة الموصل
29‐30/Nov./2010
‏”قام“‏ Fig (6): The Approximation coefficients for the word
4-2 Classification
In a general sense, a neural network is a system that emulates the optimal
processor for a particular task, something which cannot be done using a
conventional digital computer, except with a lot of user input. Optimal
processors are sometimes highly complex, nonlinear and parallel information
processing systems. [17]
Back propagation Neural Network are one of the most common neural network
structures, as they are simple and effective, and have been used widely in
assortment of machine learning applications. [13]
The Back propagation realizes the classification using features obtained from
the discrete wavelet transform. Figure(7) shows the Feedforword
Backpropagation Network with 3 layers for input, hidden and output. In
training stage, we have used 7 neuron in the input layer and 7 neuron in the
output layer for each speaker. The training parameters and the structure of the
network used in this research are as shown in table 1. These were selected for
the best performance, after several different experiments, such as the number of
hidden layers, the size of the hidden layers and type of activation function.
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