| 1. | Development of artificial neural network and its application in multivariate calibration
人工神经网络的发展及在多元校正中的应用 |
| 2. | Rapid determination of ethanol in wine by near - infrared spectroscopy combined with multivariate calibration
近红外光谱法结合多变量校正技术快速分析酒中乙醇含量 |
| 3. | An algorithm for constructing adaptive wavelet filters was proposed , and applied to multivariate calibration of the near infrared ( nir ) spectra
摘要实现了一种构建自适应小波滤波器的方法，并将其用于近红外光谱数据的多元校正。 |
| 4. | The application of near - infrared ( nir ) spectroscopy for estimating the various properties in samples has become widespread with the use of multivariate calibration
近红外技术结合多元回归方法已经广泛应用于许多行业的物质相关成分含量的测定。 |
| 5. | Graphically - oriented local multivariate calibration modeling procedures called interval partial least - squares ( ipls ) was applied to select the efficient spectral regions that provided the lowest prediction error
本研究提出一种间隔偏最小二乘法的农产品近红外光谱谱区选择方法，并将其应用于建立苹果糖度近红外光谱模型。 |
| 6. | The analysis of meaning for the principle components in multivariate calibration should combine with the professional knowledge about measuring sample . the analysis method is not completely fixed and specific for the different measurement object
指出多变量校正模型的主成分与多种因素有关，其表征的意义需要根据专业知识对具体问题做具体分析，而不存在完全固定的判断规则。 |
| 7. | Abstract ： the applications of chemometric approaches , such as opt imization , multivariate calibration , artificial neural network , signal processin g , resolution , parameter estimation etc . , in capillary electrophoresis have bee n reviewed
摘要：综述了最优化方法、多元校正方法、人工神经网络、曲线分辨、信号处理等化学计量学方法在毛细管电泳分离分析中的应用，展望了化学计量学在毛细管电泳中的应用前景。 |
| 8. | It includes symposia , monographs and reviews , statistics , optimal design of experiments and optimization methods , analytical signal processing , multivariate calibration , chemical pattern recognition , qsar , library searching and expert systems , chemometric education , with 168 references cited
内容涉及统计学与统计方法、试验设计与优化、分析信号处理、多元校正、化学模式识别、定量构效关系（ qsar ） 、数据库及专家系统、化学计量学教学等方面，共引用文献168篇。 |
