Recently neural networks and support vector machines prediction techniques are seen to be used increasingly in many finance problems such as Stock-Exchange Index financial distress prediction or classification of corporate bond as an alternative for statistical methods.. Neural Networks is conducted as a system working parallel to each other, composed of many simple elements of operation. Additionally the function is determined by structure of the network, connection weights (weights of the synapses) and performed operations in elements. Support vector machines (SVMs) which is closely related to artificial neural networks; SVM model using a sigmoid kernel the function is obtained using a two layer and feed forward neural network
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