In today’s era of rapid development in science and technology, the development of digital technology has increasingly higher requirements for data processing functions. The matrix signal commonly used in engineering applications also puts forward higher requirements for processing speed. The eigenvalues of the matrix represent many characteristics of the matrix. Its mathematical meaning represents the expansion of the inherent vector, and its physical meaning represents the spectrum of vibration. The eigenvalue of a matrix is the focus of matrix theory. The (...) problem of matrix eigenvalues is widely used in many research fields such as physics, chemistry, and biology. A neural network is a neuron model constructed by imitating biological neural networks. Since it was proposed, the application research of its typical models, such as recurrent neural networks and cellular neural networks, has become a new hot spot. With the emergence of deep neural network theory, scholars continue to combine deep neural networks to calculate matrix eigenvalues. This article aims to study the estimation and application of matrix eigenvalues based on deep neural networks. This article introduces the related methods of matrix eigenvalue estimation based on deep neural networks, and also designs experiments to compare the time of matrix eigenvalue estimation methods based on deep neural networks and traditional algorithms. It was found that under the serial algorithm, the algorithm based on the deep neural network reduced the calculation time by about 7% compared with the traditional algorithm, and under the parallel algorithm, the calculation time was reduced by about 17%. Experiments are also designed to calculate matrix eigenvalues with Obj and recurrent neural networks (RNNS) models, which proves that the Oja algorithm is only suitable for calculating the maximum eigenvalues of non-negative matrices, while RNNS is commonly used in general models. (shrink)

该书收入其论著6种, 主要包括《仪礼奭固》, 《礼器图》, 《周政三图》, 《天文图考》, 《经脉分图》等.

Machine learning algorithms bring out an under-appreciated puzzle of discrimination, namely figuring out when a decision made on the basis of a factor correlated with race is a decision made on the basis of race. I argue that prevailing approaches, which are based on identifying and then distinguishing among causal effects of race, in their metaphysical timidity, fail to get off the ground. I suggest, instead, that adopting a constructivist theory of race answers this puzzle in a principled manner. On (...) what I call a “thick constructivist” account of race, to be raced is to be socially positioned in the way indicated by a certain set of statistical regularities on the basis of particular phenotypical traits. A thick constructivist sees that acting on the basis of correlations that constitute race qua social position just is acting on the basis of race, because races just are social positions that subject their member individuals to a particular matrix of social relations that define the raced position. This conclusion has considerable ramifications for our understanding of discrimination, algorithms and beyond. (shrink)

With the development of computer hardware and software, digital art is a new discipline. It uses computers and digital technology as tools to perform artistic expression. It can be expanded to various binary numerical codes with computers as the center and can also be refined to various categories of creation with computers. The research scope is set in the field of digital art, and all kinds of accidental factors of digital art creation based on the machine learning algorithm are mined (...) and analyzed for feature correlation. Based on the hidden association relationship of massive data, the study focuses on the implicit association mining of digital art features of data for the recommendation algorithm. The classification and continuous data feature attributes are introduced and discretized, and the binary representation of data features is extended to ensure the diversity of data feature attributes. In order to mine some correlation features in data, a heuristic feature mining method based on minimum support was studied to discover the frequency of correlation features and construct the optimal feature subset. Based on the frequent items of data features, this study observes the heuristic algorithm of digital art feature association mining based on minimum confidence and carries out feature matching based on digital art feature association mining under different situation modes. The validity of the proposed algorithm is verified by using the experimental data of health and medical situations in the machine learning library. (shrink)

University students having high entrepreneurial intention while not transferring into actual entrepreneurial behavior is a contradictory issue in need of in-depth research. To explore the successive development mechanism of the entrepreneurial process, this study constructed a moderated mediation model to examine whether entrepreneurial commitment from three dimensions mediated the relationship between entrepreneurial intention and behavior, and whether this mediating process was moderated by family support. A survey was conducted among university students from six major universities in south China using the (...) snowball sampling approach. A total of 469 valid responses were obtained. Structural equation modeling was adopted for data analysis. According to the results of the confirmatory factor analysis, it was found that entrepreneurial intention had both direct and indirect positive effects on entrepreneurial behavior, while entrepreneurial commitment worked as the mediator, and family support moderated the relationship between entrepreneurial intention and behavior. Results indicated that entrepreneurial commitment bridged the path from entrepreneurial intention to behavior, and family support created the boundary effect. This finding highlights the importance of guiding students through entrepreneurial commitment toward entrepreneurial behavior, and pays special attention to the crucial role of family support under the national strategy. (shrink)

本卷收入胡适哲学与文化方面的论文、函牍、讲演、札记80余篇。其中包括实验主义、我们对于西洋近代文明的态度等重要文章。所收文章全面反映了胡适哲学思想、学术主张和对于中西文化的态度,对于了解和研究胡适本人 以及现代中国学术史、现代中国启蒙运动等内容。.

That a symbolic object or work of art participates in what it signifies, as a part within a whole, was a controversial claim discussed with particular intensity in the wake of Immanuel Kant's Critique of Judgment. It informed the aesthetic theories of a constellation of writers in Jena and Weimar around 1800, including Moritz, Goethe, Schelling and Hegel. Yet the twin concepts of symbol and intuition were not only tools of literary and mythological criticism: they were integral even to questions (...) of epistemology and methodology in the fields of theology, metaphysics, history and natural philosophy. The international contributors to this volume further explore how both the explanatory potential and peculiar dissatisfactions of the symbol entered the Anglo-American discourse, focusing on Coleridge, Crabb Robinson and Emerson. Contemporary debates about the claims of symbolic as opposed to allegorical art are kept in view throughout. (shrink)

An extensive account of China's comprehensive private ownership reforms from 1978 to 2008. User-friendly and approachable, this specialist book combines rich research knowledge with examples and academic theories, plus quotations, anecdotes, idioms, and Chinese sayings to outline and present the sequence and difficulties of China's monumental ownership reforms.

胡適（1891-1962），安徽績溪人。原名嗣穈，後改名胡適，字適之，曾用筆名希彊、臧暉等。新文化運動的奠基人與領袖之一，倡導約翰・杜威的實用主義。1917年回國任教北大，參與編輯《新青年》《努力周報 》《獨立評論》等雜誌，先後擔任中華民國駐美大使、國立北京大學校長、台北「中央研究院」院長等職，著有《中國哲學史大綱》《嘗試集》《胡適文存》等書，並獲諾貝爾文學獎提名。.

Ursachen spielen im Alltag und in der Wissenschaft eine zentrale Rolle. Wir stützen uns auf Ursachenwissen wenn wir Vorhersagen machen, wenn wir Phänomene erklären, wenn wir in die Natur eingreifen und wenn wir Verantwortung zuschreiben. Aber was heißt es, dass etwas die Ursache eines Ereignisses ist? Dieses Buch gibt einen kurzen Überblick über historische Positionen, die auch für heutige Debatten noch relevant sind. Im Hauptteil wird ein systematischer Überblick über die wesentlichen Theorien von Ursachen gegeben: die Regularitätstheorie, die kontrafaktische Theorie, (...) die Prozesstheorie und neuere Formen des Interventionismus. Zwei Fragestellungen spielen bei der Bewertung der verschiedenen Ansätze eine zentrale Rolle: Wie wird erklärt, dass Ursachen ihre Wirkungen,erzwingen‘? Wie wird verständlich gemacht, dass Ursachen Teil einer Welt sein können, die durch die Physik beschrieben wird? Schließlich entwickelt der Verfasser eine neue Variante einer Prozesstheorie, die darauf verzichtet Prozesse physikalisch auszuzeichnen. Die Neuauflage enthält eine deutliche Weiterentwicklung der Position des Verfassers. Zudem wurde der gesamte Text durchgesehen sowie neu erschienene Literatur berücksichtigt. (shrink)

Among world's three major philosophic traditions, Chinese philosophy excels in ethical discourse. As a collective wisdom on a par with Aristotle's "Ethics" and Kant's "Critique of Practical Reason", Chinese philosophy now needs to be systematized and developed. Today, Chinese philosophy per se has often been reduced to the historical approach to it, hence its slower development in comparison with European and Indian philosophies. The author of this book avails himself of Kant's model of human psychic structure, synthesizes the basic elements (...) of Chinese philosophy into a rigorous theoretical framework, and presents a panoptic view of the edifice of traditional Chinese philosophy. (shrink)

On rationalism and Hindu philosophy; articles translated from four Indic languages.