Applied Artificial Neural Networks

Abstract

Since their re-popularisation in the mid-1980s, artificial neural networks have seen an explosion of research across a diverse spectrum of areas. While an immense amount of research has been undertaken in artificial neural networks themselves—in terms of structures, training algorithms, topologies, types, etc.—an equally large proportion of work has examined the application of neural networks to a whole host of problems. Such problems are usually difficult to define and hard to solve using conventional techniques. Examples include computer vision, speech recognition, financial applications, medicine, meteorology, robotics, etc.