This book argues for the significance of ideology critique and moral judgment in the fields of literary, cultural, political and philosophical studies. By drawing on Slavoj Zizek's theory of ideology the author examines postmodern horror films like Jonathan Demme's The Silence of the Lambs, multiculturalism, post-September 11 political discourses and the society of enjoyment in terms of paranoia and perversion and reveals patterns of enjoyment structured through ideological fantasy. The Lacanian/Zizekian theory of ideological fantasy and ethics of psychoanalysis is then applied to broader philosophical, political and cultural contexts.
In this book, the latest achievements of the computation time analysis theory and practical applications of intelligent algorithms are set out. There are five chapters: (1) new method of intelligent algorithm computation time analysis; (2)Application of intelligent algorithms in computer vision; (3)Application of intelligent algorithms in logistics scheduling; (4)Application of intelligent algorithms in software testing; and (5) application of intelligent algorithm in multi-objective optimization. The content of each chapter is supported by papers published in top journals. The authors introduce the work of each part, which mainly includes a brief introduction (mainly for readers to understand) and academic discussion (rigorous theoretical and experimental support), in a vivid and interesting way through excellent pictures and literary compositions. To help readers learn and make progress together, each part of this book provides relevant literature, code, experimental data, and so on. Integrates the theoretical analysis results of intelligent algorithms, which is convenient for the majority of researchers to deeply understand the theoretical analysis results of intelligent algorithms and further supplement and improve the theoretical research of intelligent algorithms Opens up readers' understanding of the theoretical level of intelligent algorithms and spreads the inherent charm of intelligent algorithms Integrates the diverse knowledge of society and provides a more comprehensive and scientific knowledge of intelligent algorithm theory
Selected from blog posts from 2006-present, This Generation tells the story of modern China from Han Han's unique perspective. Writing on topics as diverse as racing, prostitution, and how to be a patriot, Han Han has written a diary that is not only invaluable for the English-speaking world to understand our rising Eastern partner and rival, but which will long be remembered as a millennial time capsule. The core of this anthology is drawn from the collection Qingchun (Youth), published in Taipei in 2010, but it also contains a sprinkling of both older and more recent pieces. Presented in chronological order, the sequence opens with a handful of early posts; it excerpts Han Han's work more fully beginning in 2008, the year when he really hit his stride and his blog commanded a larger and larger audience in the run-up to the Beijing Olympics. The anthology closes with Han Han's controversial cluster of essays posted in the final days of 2011.
This book presents a comprehensive introduction to well logging and the inverse problem. It explores challenges such as conventional data processing methods’ inability to handle local minima issues, and presents the explanations in an easy-to-follow way. The book describes statistical data interpretation by introducing the fundamentals behind the approach, as well as a range of sampling methods. In each chapter, a specific method is comprehensively introduced, together with representative examples. The book begins with basic information on well logging and logging while drilling, as well as a definition of the inverse problem. It then moves on to discuss the fundamentals of statistical inverse methods, Bayesian inference, and a new sampling method that can be used to supplement it, the hybrid Monte Carlo method. The book then addresses a specific problem in the inversion of downhole logging data, and the interpretation of earth model complexity, before concluding with a meta-technique called the tempering method, which serves as a supplement to statistical sampling methods. Given its scope, the book offers a valuable reference guide for drilling engineers, well logging tool physicists, and geoscientists, as well as students in the areas of petroleum engineering and electrical engineering.
Carl Schmitt and Leo Strauss in the Chinese-Speaking World: Reorienting the Political examines the reception of Carl Schmitt and Leo Strauss in China and Taiwan. The legacies of both Schmitt, the German legal theorist and thinker who joined the Nazi party, and Strauss, the German-Jewish classicist and political philosopher who became famous after his emigration to the United States, are highly controversial. Since the 1990s, however, these thinkers have had a powerful resonance for Chinese scholars. Today, when Chinese intellectuals debate the Chinese state, the future role of China in the world, the liberal international order, and even the meaning of Confucian civilization, they often employ Schmittian and Straussian concepts like “the political,” “friend–enemy,” “state of exception,” “liberal education,” and “natural right.” The very possibility of a genuine Chinese political theory is often thought to be tied to the legacy of these two thinkers. This volume explores this complex phenomenon with a cross-cultural and interdisciplinary approach. The twelve essays in this volume are written from a range of perspectives by philosophers, political theorists, historians, and legal scholars from China, Germany, Taiwan, and the United States.
Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems, especially their mathematical foundations. Fuzzy Neural Intelligent Systems fills this gap. It develops a mathematical basis for fuzzy neural networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing their focus into three main areas of interest, the authors give a systematic, comprehensive treatment of the relevant concepts and modern practical applications: Fundamental concepts and theories for fuzzy systems and neural networks. Foundation for fuzzy neural networks and important related topics Case examples for neuro-fuzzy systems, fuzzy systems, neural network systems, and fuzzy-neural systems Suitable for self-study, as a reference, and ideal as a textbook, Fuzzy Neural Intelligent Systems is accessible to students with a basic background in linear algebra and engineering mathematics. Mastering the material in this textbook will prepare students to better understand, design, and implement fuzzy neural systems, develop new applications, and further advance the field.
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