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41.
有限构模器的扩展及其在形式化方法中的应用 总被引:2,自引:0,他引:2
规约在软件开发和验证中占有重要地位,对于以一阶逻辑为基础的规约,可以利用有限模型构造技术对其执行并测试,文中研究规约中某些特性的处理,包括存在量词以及二元关系析传递闭包,对已有的一个构模工具进行扩充,发现了文献中的若干错误。 相似文献
42.
Mathematical methods of geoinformatics. III. Fuzzy comparisons and recognition of anomalies in time series 总被引:1,自引:0,他引:1
A. D. Gvishiani S. M. Agayan Sh. R. Bogoutdinov J. Zlotnicki J. Bonnin 《Cybernetics and Systems Analysis》2008,44(3):309-323
The search for anomalies in time series by methods of fuzzy logic is further explored. The algorithms DRAS and FLARS underlying
these methods are further developed in the form of the algorithm FCARS that is completely based on fuzzy comparisons.
Parts 1 and 2 were published in Cybernetics and Systems Analysis, No. 2, 2002 and No. 4, 2003.
__________
Translated from Kibernetika i Sistemnyi Analiz, No. 3, pp. 3–18, May–June 2008. 相似文献
43.
Intelligence has been an object of study for a long time. Different architectures try to capture and reproduce these aspects into artificial systems (or agents), but there is still no agreement on how to integrate them into a general framework. With this objective in mind, we propose an architectural methodology based on the idea of intentional configuration of behaviors. Behavior‐producing modules are used as basic control components that are selected and modified dynamically according to the intentions of the agent. These intentions are influenced by the situation perceived, knowledge about the world, and internal variables that monitor the state of the agent. The architectural methodology preserves the emergence of functionality associated with the behavior‐based paradigm in the more abstract levels involved in configuring the behaviors. Validation of this architecture is done using a simulated world for mobile robots, in which the agent must deal with various goals such as managing its energy and its well‐being, finding targets, and acquiring knowledge about its environment. Fuzzy logic, a topologic map learning algorithm, and activation variables with a propagation mechanism are used to implement the architecture for this agent. 相似文献
44.
The Dynamics of Syntactic Knowledge 总被引:1,自引:0,他引:1
The syntactic approach to epistemic logic avoids the logicalomniscience problem by taking knowledge as primary rather thanas defined in terms of possible worlds. In this study, we combinethe syntactic approach with modal logic, using transition systemsto model reasoning. We use two syntactic epistemic modalities:knowing at least a set of formulae and knowingat most a set of formulae. We are particularly interestedin models restricting the set of formulae known by an agentat a point in time to be finite. The resulting systems are investigatedfrom the point of view of axiomatization and complexity. Weshow how these logics can be used to formalise non-omniscientagents who know some inference rules, and study their relationshipto other systems of syntactic epistemic logics, such as Ågotnesand Walicki (2004, Proc. 2nd EUMAS, pp. 110), Alechinaet al. (2004, Proc. 3rd AAMAS, pp. 601613), Duc (1997,J. Logic Comput., 7, 633648). 相似文献
45.
We begin by showing how to faithfully encode the Classical ModalDisplay Logic (CMDL) of Wansing into the Calculus of Structures(CoS) of Guglielmi. Since every CMDL calculus enjoys cut-elimination,we obtain a cut-elimination theorem for all corresponding CoScalculi. We then show how our result leads to a minimal cut-freeCoS calculus for modal logic S5. No other existing CoS calculifor S5 enjoy both these properties simultaneously. 相似文献
46.
47.
The main objective of this paper is to design an intelligent controller system based on the concepts of fuzzy logic. This latter will be used to control the power of a nuclear reactor. The principle of this controller is based on rules established from experiments used with a classical controller and from the knowledge and the expertise of the operators of the reactor. This intelligent controller could be used in parallel with the actual system, which is semiautomatic, as a decision aided system to assist the operators in the control room. 相似文献
48.
We design and investigate the performance of fuzzy logic-controlled (FLC) active suspensions on a nonlinear vehicle model
with four degrees of freedom, without causing any degeneration in suspension working limits. Force actuators were mounted
parallel to the suspensions. In this new approach, linear combinations of the vertical velocities of the suspension ends and
accelerations of the points of connection of the suspension to the body have been used as input variables. The study clearly
demonstrates the effectiveness of the fuzzy logic controller for active suspension systems. Suspension working space degeneration
is the most important problem in various applications. Decreasing the amplitudes of vehicle body vibrations improves ride
comfort. Body bounce and pitch motion of the vehicle are presented both in time domain when travelling over a ramp-step road
profile and in frequency domain. The results are compared with those of uncontrolled systems. At the end of this study, the
performance and the advantage of the suggested approach and the improvement in ride comfort are discussed. 相似文献
49.
Fuzzy logic for signal prediction in nuclear systems 总被引:2,自引:0,他引:2
In this paper, we present a fuzzy logic-based algorithm which allows to build a predictive model of an evolving signal. The if-then rules are inferred from the available input-output data. The errors of the model predictions with respect to the measured plant signals can then be used to detect, in real-time, any deviation of the process due either to a component's failure or to an operator's action. Applications of the approach are presented with respect to a chaotic time series of literature and to the water level in the steam generator of a PWR. 相似文献
50.
The uses of fuzzy logic in autonomous robot navigation 总被引:10,自引:0,他引:10
A. Saffiotti 《Soft Computing - A Fusion of Foundations, Methodologies and Applications》1997,1(4):180-197
The development of techniques for autonomous navigation in real-world environments constitutes one of the major trends in
the current research on robotics. An important problem in autonomous navigation is the need to cope with the large amount
of uncertainty that is inherent of natural environments. Fuzzy logic has features that make it an adequate tool to address
this problem. In this paper, we review some of the possible uses of fuzzy logic in the field of autonomous navigation. We
focus on four issues: how to design robust behavior-producing modules; how to coordinate the activity of several such modules;
how to use data from the sensors; and how to integrate high-level reasoning and low-level execution. For each issue, we review
some of the proposals in the literature, and discuss the pros and cons of fuzzy logic solutions.
Received: 31 March 1997 / Accepted: 24 September 1997 相似文献