Artificial Neural Network

Particle Swarm Optimization Introduction  ·          Swarm Intelligence (SI) is an innovative distributed intelligent paradigm for solving optimization problems that originally took its inspiration from the biological examples by swarming, flocking.  ·          Particle Swarm Optimization (PSO) incorporates swarming behaviors observed in flocks of birds, schools of fish, or swarms of bees, and even human social behavior, from which the idea is emerged.  ·  ·          PSO is a population-based optimization tool, which could be implemented and applied easily to solve various function optimization problems, or the problems that can be transformed to function optimization problems. The flocking behavior of a group of birds   ·          As an algorithm, the main stre...

The Use of Self Organizing Map Method and Feature Selection in Image Classification System Introduction: Artificial Neural Network (ANN) is defined as an information processing system that has characteristics resembling human neural tissue. The existence of ANN provides a new technology to help solve problems that require thinking of experts and computer based routine. A few of ANN application was for classification system (clustering), association, pattern recognition, forecasting and analysis In this example the ANN method which applied is SOM method, that to be used to classify the image into a set of five different classes. In the Self Organizing Map (SOM) method, the applied learning is an unsupervised learning where the network does not utilize the class membership of sample training, but use the information in a group of neurons to modify the local parameter. The SOM system is adaptively classify samples (X image data) into classes deter...