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61.
G. Scalabrin L. Piazza M. Condosta 《International Journal of Heat and Mass Transfer》2003,46(23):4413-4425
In a previous work, convective heating of carbon dioxide was studied with neural networks (NN), obtaining a totally heuristical heat transfer equation from the direct regression of experimental data. In the present work, the analysis focuses on the cooling process, which has a technical relevance in various applications, as for example in transcritical refrigeration cycles. Heat transfer around the critical zone presents a marked enhancement, that follows the peaks in thermophysical properties like thermal conductivity and heat capacity. Similarly, other properties like density and enthalpy, present a strong variation in narrow temperature intervals around the critical point.This constitutes then a highly non-linear phenomenon, for which it is advisable to use a very flexible function approximator like the NNs. NN models were applied both in terms of dimensionless numbers and of physical quantities, obtaining the two corresponding NN architectures. The choice of the optimal number of neurons in the NN hidden layer is discussed. The NN models are then compared with a recent correlation from literature, for which the validation results present an AAD of 27% and a bias of −26% with an evident prediction shifting. On the other hand the NN models in terms of dimensionless numbers and of physical quantities have AAD and bias of 14% and −4%, and of 7% and −2%, respectively, showing a largely better performance. 相似文献
62.
63.
In this paper, a new real-time sensor system has been developed to detect chatter in milling operations. In the developed sensor system, a pattern recognition technique based on an unsupervised neural network using the adaptive resonance theory (ART) is adopted for detection of milling chatter. The features on the cutting force spectrum are fed into the sensor system to classify the milling process with or without chatter. The experimental results indicate that the proposed sensor system can accurately detect milling chatter regardless of the variation in cutting conditions. 相似文献
64.
基于神经网络的模拟电路故障诊断优化近似方法 总被引:2,自引:1,他引:1
本文提出了线性电阻电路故障诊断的一种神经网络优化方法。其基本思想是应用Hopfield网络原理来处理L1范数问题,以此来进行诊断。对实例的计算证明此法是可行的。 相似文献
65.
Aeromagnetic compensation using neural networks 总被引:1,自引:0,他引:1
Peter M. Williams 《Neural computing & applications》1993,1(3):207-214
Airborne magnetic surveys in geophysical exploration can be subject to interference effects from the aircraft. Principal sources are the permanent magnetism of various parts of the aircraft, induction effects created by the earth's magnetic field and eddy-current fields produced by the aircraft's manoeuvres. Neural networks can model these effects as functions of roll, pitch, heading and their time derivatives, together with vertical acceleration, charging currents to the generator, etc., without assuming an explicit physical model. Separation of interference effects from background regional and diurnal fields can also be achieved in a satisfactory way. 相似文献
66.
Chris Moss 《AI & Society》1989,3(4):345-356
The introduction of massive parallelism and the renewed interest in neural networks gives a new need to evaluate the relationship of symbolic processing and artificial intelligence. The physical symbol hypothesis has encountered many difficulties coping with human concepts and common sense. Expert systems are showing more promise for the early stages of learning than for real expertise. There is a need to evaluate more fully the inherent limitations of symbol systems and the potential for programming compared with training. This can give more realistic goals for symbolic systems, particularly those based on logical foundations. 相似文献
67.
S. R. Lee Y. K. Lee C. H. Park D. Y. Yang 《International Journal of Mechanical Sciences》2002,44(4):773-792
The preform design in metal forging plays a key role in improving product quality, such as ensuring defect-free property and proper metal flow. In industry, preforms are generally designed by the iterative trial-and-error approach. This approach, however, leads not only to the increase of significant tool cost but also to the extended down-time of the production equipment. It is thus necessary to reduce time and man power through an effective method of preform design. In this paper, the equi-potential lines designed in the electric field are introduced to find an appropriate preform shape. The equi-potential lines generated between two conductors of different voltages show similar trends for the minimum work paths between the undeformed shape and the deformed shape. Based on this similarity, the equi-potential lines obtained by the arrangement of the initial and final shapes are utilized for the design of the preform, and then the artificial neural network is used to find the range of initial volume and potential value of the electric field. 相似文献
68.
TUYaping HUANGShanglian 《半导体光子学与技术》1996,2(2):146-149
A suitable fiberoptic sensing array embedded in the smart structure to monitor quasi-distrbuted froces on the structrue in presented in this paper.Artificial neural networks are used in processing of fiberoptic sensing array signals.Fundamental experiments have been done and the results are also given. 相似文献
69.
余数制和神经网络各有其独特优点,将其有机结合这些优点得以充分发挥。将神经网络结构和方法引人余数制信号处理系统,构造出完成余数约化运算和余/十转换运算以及余数加法运算的新结构,开辟了高速实时信号处理的新途径.将余数制引入神经网络,即神经网络中的数据、权值均按余数制表示和运算,构造出一种新的感知机模型—余数制神经网络,由于余数制运算具有一种独特的非线性特点,使这种模型比常规神经网络具有更强的功能。 相似文献
70.
GDP时间序列具有线性和非线性的双重特征,所以传统统计预测方法、神经网络方法和集成预测方法都在预测分析时准确性不高,误差较大。文章提出由GDP时间序列,找出只具有非线性特征的GDP年增量百分比序列,以此建立基于BP的预测模型,对我国的GDP进行预测,仿真实验表明,改进的BP模型预测准确率明显优于目前的ARIMA-BP集成模型及单一BP模型的预测准确率,从而证实了改进的BP模型用于GDP预测的有效性。 相似文献