Support Vector Machines and Their Application in Chemistry and Biotechnology
暫譯: 支持向量機及其在化學與生物技術中的應用
Yizeng Liang
- 出版商: Routledge
- 出版日期: 2018-09-10
- 售價: $2,960
- 貴賓價: 9.5 折 $2,812
- 語言: 英文
- 頁數: 212
- 裝訂: Paperback
- ISBN: 1138381977
- ISBN-13: 9781138381971
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相關分類:
化學 Chemistry、物聯網 IoT
海外代購書籍(需單獨結帳)
商品描述
Support vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint analysis, and microarray data-based cancer classification. While most mathematicians are well-versed in the distinctive features and empirical performance of SVMs, many chemists and biologists are not as familiar with what they are and how they work. Presenting a clear bridge between theory and application, Support Vector Machines and Their Application in Chemistry and Biotechnology provides a thorough description of the mechanism of SVMs from the point of view of chemists and biologists, enabling them to solve difficult problems with the help of these powerful tools.
Topics discussed include:
- Background and key elements of support vector machines and applications in chemistry and biotechnology
- Elements and algorithms of support vector classification (SVC) and support vector regression (SVR) machines, along with discussion of simulated datasets
- The kernel function for solving nonlinear problems by using a simple linear transformation method
- Ensemble learning of support vector machines
- Applications of support vector machines to near-infrared data
- Support vector machines and quantitative structure-activity/property relationship (QSAR/QSPR)
- Quality control of traditional Chinese medicine by means of the chromatography fingerprint technique
- The use of support vector machines in exploring the biological data produced in OMICS study
Beneficial for chemical data analysis and the modeling of complex physic-chemical and biological systems, support vector machines show promise in a myriad of areas. This book enables non-mathematicians to understand the potential of SVMs and utilize them in a host of applications.
商品描述(中文翻譯)
支持向量機(SVM)被廣泛應用於多種領域,包括藥物設計、食品品質控制、代謝指紋分析以及基於微陣列數據的癌症分類。雖然大多數數學家對SVM的獨特特徵和實證性能非常熟悉,但許多化學家和生物學家對其運作原理和功能並不太了解。《支持向量機及其在化學和生物技術中的應用》清晰地橋接了理論與應用,從化學家和生物學家的角度提供了SVM機制的詳細描述,使他們能夠利用這些強大的工具解決困難的問題。
討論的主題包括:
- 支持向量機的背景和關鍵元素,以及在化學和生物技術中的應用
- 支持向量分類(SVC)和支持向量回歸(SVR)機器的元素和算法,並討論模擬數據集
- 通過簡單的線性變換方法解決非線性問題的核函數
- 支持向量機的集成學習
- 支持向量機在近紅外數據中的應用
- 支持向量機與定量結構-活性/性質關係(QSAR/QSPR)
- 通過色譜指紋技術對傳統中藥的品質控制
- 在OMICS研究中探索生物數據時使用支持向量機
支持向量機在化學數據分析和複雜物理化學及生物系統建模方面顯示出良好的前景。本書使非數學家能夠理解SVM的潛力並在多種應用中加以利用。