全文获取类型
收费全文 | 2028篇 |
免费 | 253篇 |
国内免费 | 189篇 |
学科分类
工业技术 | 2470篇 |
出版年
2024年 | 7篇 |
2023年 | 29篇 |
2022年 | 30篇 |
2021年 | 43篇 |
2020年 | 63篇 |
2019年 | 47篇 |
2018年 | 48篇 |
2017年 | 51篇 |
2016年 | 82篇 |
2015年 | 83篇 |
2014年 | 119篇 |
2013年 | 102篇 |
2012年 | 171篇 |
2011年 | 219篇 |
2010年 | 164篇 |
2009年 | 158篇 |
2008年 | 197篇 |
2007年 | 225篇 |
2006年 | 167篇 |
2005年 | 150篇 |
2004年 | 96篇 |
2003年 | 72篇 |
2002年 | 56篇 |
2001年 | 32篇 |
2000年 | 21篇 |
1999年 | 13篇 |
1998年 | 11篇 |
1997年 | 7篇 |
1996年 | 5篇 |
1995年 | 1篇 |
1994年 | 1篇 |
排序方式: 共有2470条查询结果,搜索用时 453 毫秒
11.
根据径向基函数神经网络的优点,在对滚动轴承振动信号故障特征分析的基础上,提出一种应用主矢量分析(PCA)将高维相关变量转化为低维独立变量,利用其特征值建立径向基函数神经网络的方法,并用该网络对滚动轴承的故障模式进行了识别。理论和试验证明了该方法的有效性,且具有较高的识别精度。 相似文献
12.
基于RBF神经网络的遗传算法在织物染色配色中的应用研究 总被引:5,自引:0,他引:5
本文提出一种基于RBF神经网络的遗传算法解决织物染色配色问题的模型,该模型以遗传算法为主,通过使用RBF神经网络建立遗传算法的适应度函数来共同解决织物染色配色问题。通过实验表明,使用基于RBF神经网络的遗传算法配色模型可以快速提供满足企业要求的染色配方。 相似文献
13.
提出一种从RBF神经网络隐含层的输出信息出发,通过PLS快速剪枝法,一次性剪去多余节点,生成最优规模的数学解析模型的方法。并用该方法建立了某化工企业精对苯二甲酸(PTA)晶体平均粒径的软测量模型,针对实际对象进行仿真研究,结果表明,该方法计算速度快,建立的模型精度高,适合实际工程应用的需求。 相似文献
14.
15.
《Expert systems with applications》2014,41(13):5858-5869
A new architecture of intelligent audio emotion recognition is proposed in this paper. It fully utilizes both prosodic and spectral features in its design. It has two main paths in parallel and can recognize 6 emotions. Path 1 is designed based on intensive analysis of different prosodic features. Significant prosodic features are identified to differentiate emotions. Path 2 is designed based on research analysis on spectral features. Extraction of Mel-Frequency Cepstral Coefficient (MFCC) feature is then followed by Bi-directional Principle Component Analysis (BDPCA), Linear Discriminant Analysis (LDA) and Radial Basis Function (RBF) neural classification. This path has 3 parallel BDPCA + LDA + RBF sub-paths structure and each handles two emotions. Fusion modules are also proposed for weights assignment and decision making. The performance of the proposed architecture is evaluated on eNTERFACE’05 and RML databases. Simulation results and comparison have revealed good performance of the proposed recognizer. 相似文献
16.
17.
18.
19.
In engineering, it is computationally prohibitive to directly employ costly models in optimization. Therefore, surrogate-based optimization is developed to replace the accurate models with cheap surrogates during optimization for efficiency. The two key issues of surrogate-based optimization are how to improve the surrogate accuracy by making the most of the available training samples, and how to sequentially augment the training set with certain infill strategy so as to gradually improve the surrogate accuracy and guarantee the convergence to the real global optimum of the accurate model. To address these two issues, a radial basis function neural network (RBFNN) based optimization method is proposed in this paper. First, a linear interpolation (LI) based RBFNN modelling method, LI-RBFNN, is developed, which can enhance the RBFNN accuracy by enforcing the gradient match between the surrogate and the trend observed from the training samples. Second, a hybrid infill strategy is proposed, which uses the surrogate prediction error based surrogate lower bound as the optimization objective to locate the promising region and meanwhile employs a linear interpolation-based sequential sampling approach to improve the surrogate accuracy globally. Finally, extensive tests are investigated and the effectiveness and efficiency of the proposed methods are demonstrated. 相似文献
20.