Artificial Neural Networks: Advances and Applications - John Hopkins - Bog

A piece of a computing system designed to simulate the way the human brain analyzes and processes information is referred to as an artificial neural network. It lays the foundation of artificial intelligence and solves problems that are impossible or difficult by human or statistical standards. Artificial neural networks have self-learning potential that enables them to produce better results as more data becomes available. They are designed like the human brain with neuron nodes interconnected to a web. Some of the major applications of artificial neural networks are text classification and categorization, named entity recognition, part-of-speech tagging, semantic parsing and question answering and paraphrase detection. The ever-growing need for advanced technology is the reason that has fueled the research in the field of artificial neural network in recent times. This book unravels the recent studies in this field. It will provide comprehensive knowledge to the readers.