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Breast cancer is the second leading cause of cancer deaths in women worldwide and occurs in nearly one out of eight women. In this paper we develop a hybrid intelligent system for diagnosis, prognosis and prediction for breast cancer using SANE (Symbiotic, Adaptive Neuro-evolution) and compare with ensemble ANN, modular neural network, fixed architecture evolutionary neural network (F-ENN) and Variable...
In this paper an attempt is made to develop speaker identification system which is used to determine the identity of an unknown speaker among several speakers of known speech characteristics, from a sample of his or her voice. Every speaker has different individual characteristics embedded in his /her speech utterances. These characteristics can be extracted from utterances and different neural network...
The problem of path planning deserves a special mention in the field of robotics as it enables the intelligent systems used in autonomous robots to move the robot from one position to the other. Out of the various methods used for solving the problem of robot path planning, two of the common approaches include multi-neuron heuristic search (MNHS) algorithm and evolutionary algorithms (EA). The MNHS...
In the past we have seen various developments in the philosophy and application of neural networks. We today have backpropagation algorithm, Hopfield networks, perceptrons, etc. All these are very precise tools which model the data very well. But unfortunately, the problem being faced these days is of training the neural network in short span of time, over the test data. All the above mentioned tools...
In this paper we discussed and implemented Morphological method for face recognition using fiducial points. A new technique for extracting facial features is suggested here. This method is independent of the face expressions. In recognition process, these fiducial point are fed as inputs to a Back propagation neural network for learning and identifying a person. So with the help of this technique,...
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