Introduction to Neural Networks Using MATLAB 6.0: Applications and Examples by S.N. Sivanandam, S. S

Neural networks are computationally efficient modelsinspired by the working of the neurons present in the human brain. Similarly a system of interconnected neurons can compute values by feeding information through the network. In a neural network for recognising handwriting, a set of input neurons will be activated by the pixels of an input image representing a letter or digit. Activations are then passed on, weighted and transformed by using some function determined by the network designer, to other neurons, etc., until an output neuron is activated which determines the character that was read. It consist of sets of adaptive weights that are tuned by a learning algorithm, it is also capable of approximating non-linear functions of their inputs. The adaptive weights are connection strengths between neurons that are activated during training and prediction. Back propagation is a systematic method of training multilayerartificial neural networks. It is among the widely used method for supervised learning with a wide range of practical range application. In this paper the multilayer feed forward neural network with back propagation learning is used to recognise Meetei Mayek characters.

introduction to neural networks using matlab 6 0 s n sivanandam sumathi deepa

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NN is a machine like human brain with basic properties of learning capability and generalization. In this paper a feed forward neural network is to select the voltage vector is used to determine the sector number. There are six sectors, each sector of 60 degree each [9,11]. There are two input and one output feed forward network with three layers. Back Propagation is a systematic method for training multilayer artificial networks. It is a multilayer forwar network using extend gradient-descent based delta-learning rule, commonly known as back propagation rule. The aim of this network is to train the net to achieve a balance between the ability to respond correctly to the input patterns that are used for training and the ability to provide good responses 2ff7e9595c