Robert J. Marks Bücher

Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural networks called multilayer perceptrons (MLP). These are the mostly widely used neural networks, with applications as diverse as finance (forecasting), manufacturing (process control), and science (speech and image recognition). This book presents an extensive and practical overview of almost every aspect of MLP methodology, progressing from an initial discussion of what MLPs are and how they might be used to an in-depth examination of technical factors affecting performance. The book can be used as a tool kit by readers interested in applying networks to specific problems, yet it also presents theory and references outlining the last ten years of MLP research.

Exploring the intersection of technology and ethics, Robert J. Marks delves into the military applications of lethal AI. He presents a compelling case for its development, asserting that embracing such technology is essential for America's survival and prosperity. Marks confronts both the practical implications and moral dilemmas posed by lethal AI, urging readers to consider its inevitable role in future warfare and national security.

Fourier analysis plays a crucial role in various scientific fields, including physics, number theory, signal processing, and cryptography. It is often viewed as a method for decomposing signals into their constituent frequencies and amplitudes. This professional handbook offers a comprehensive exploration of Fourier Analysis, addressing topics that range from engineering mathematics and signal processing to quantum physics and foundational music theory. As a definitive resource, it aims to replace several less comprehensive texts, such as Processing of Multifimensional Signals and Modern Sampling Theory. While primarily serving as a professional handbook, it also includes sample problems and solutions at the end of each section, making it suitable as a textbook for advanced undergraduates and beginning graduate students. Courses that would benefit from this resource include Multidimensional Signals and Systems, Signal Analysis, and Random Variables and Stochastic Processes. The book's practical, applications-based approach ensures that readers gain a solid understanding of both the theory and practical applications of Fourier Analysis across diverse disciplines.