Artificial Neural Network

بسم الله الرحمن الرحيم Self-Organizing Map Technical report Prepared by : Mogtapa Eltayip Abd-Elrhman Mohammed Index (12) Supervised: Abdelhamid Salih Ph.D Abstract Neural Networks are a computational approach which is based on a large collection of neural units loosely modeling the way the brain solves problems with large clusters of biological neurons connected by axons. Each neural unit is connected with many others, and links can be enforcing or inhibitory in their effect on the activation state of connected neural units INTRODUCTION The Self-Organizing Map is one of the most popular neural network models. It belongs to the category of competitive learning networks. The Self-Organizing Map is based on unsupervised learning, which means that no human intervention is needed during the learning and that little needs to be known about the characteristics of the input data. We could, for example, use the SOM for clustering data wit...

Evolutionary computation Intelligence can be defined as the capability of a system to adapt its behavior to an ever-changing environment.  By modeling the process of evolution, we might expect to create intelligent behavior.  Evolutionary computation simulates evolution on a computer.  The result of such a simulation is a series of optimization algorithms, usually based on a simple set of rules.  Optimization improves the quality of solutions until an optimal, or at least feasible, solution is found. Is evolution really intelligent? We can consider the behavior of an individual organism as an inductive inference about some unknown aspects of its environment. Then if, over successive generations, the organism survives, we can say that this organism is capable of learning to predict changes in its environment.  The evolutionary approach to machine learning is based on computational models of natural selection and genetics. We call ...