Search

Summary: Artificial neural networks (ANNs) are computing systems that are motivated by the design and functioning of biological neural networks. Its design is driven by the goal of solving problems in a manner that mimics the working of the human brain. To achieve this, a system of artificial neurons is constructed, which transmits signals through connections. ANN can be programmed to deliver on the functionalities of data processing, classification, function approximation, robotics and control. Its use, however, requires an understanding of the learning algorithm, choice of model and robustness. Due to its diverse capabilities, ANN has potential applications in medical diagnosis, finance, ocean modeling, vehicle control, face identification, among many others. This book contains some path-breaking studies in the field of artificial neural networks. The ever-growing need of advanced technology is the reason that has fueled the research in the field of artificial neural networks in recent times. Coherent flow of topics, student-friendly language and extensive use of examples make this book an invaluable source of knowledge.

Summary: This book presents a broad overview on the current various design modules and applications of artificial neural systems. Artificial neural networks are often dubbed as one of the most acknowledged technologies in the past twenty years. It has been broadly applied in a wide diversity of applications. The aim of this book is to present current developments of architectures, methodologies, and usage of artificial neural networks. The topics in this book majorly deal with two important aspects: the architecture aspect involving dealing with architectures, design, optimization, and the analysis of artificial neural networks; and the application aspect dealing with applications of artificial neural networks in a broad spectrum of areas comprising of biomedical, industrial, physics, and financial applications. This book will be an important source of reference for graduate students and engineers in various organizations.

Summary: The intelligence demonstrated by machines is known as artificial intelligence, or AI. Several capabilities of modern machines such as understanding human speech effectively and operating cars autonomously are classified as artificial intelligence. There are 3 types of systems into which artificial intelligence can be categorized- analytical, human inspired and humanized. Analytical artificial intelligence only possesses characteristics from cognitive intelligence. Human inspired artificial intelligence combines elements from both cognitive and emotional intelligence. Humanized artificial intelligence is self-aware and is able to show attributes of cognitive, social and emotional intelligence. There are several tools used in AI such as artificial neural networks, search and mathematical optimization and methods based on probability, economics, statistics etc. This book unfolds the innovative aspects of artificial intelligence which will be crucial for the progress of this field in the future. The topics included herein are of utmost significance and bound to provide incredible insights to readers. This book will serve as a valuable source of reference for graduate and post graduate students.