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商品描述
Principles of Soft Computing Using Python Programming
An accessible guide to the revolutionary techniques of soft computing
Soft computing is a computing approach designed to replicate the human mind's unique capacity to integrate uncertainty and imprecision into its reasoning. It is uniquely suited to computing operations where rigid analytical models will fail to account for the variety and ambiguity of possible solutions. As machine learning and artificial intelligence become more and more prominent in the computing landscape, the potential for soft computing techniques to revolutionize computing has never been greater.
Principles of Soft Computing Using Python Programming provides readers with the knowledge required to apply soft computing models and techniques to real computational problems. Beginning with a foundational discussion of soft or fuzzy computing and its differences from hard computing, it describes different models for soft computing and their many applications, both demonstrated and theoretical. The result is a set of tools with the potential to produce new solutions to the thorniest computing problems.
Readers of Principles of Soft Computing Using Python Programming will also find:
- Each chapter accompanied with Python codes and step-by-step comments to illustrate applications
- Detailed discussion of topics including artificial neural networks, rough set theory, genetic algorithms, and more
- Exercises at the end of each chapter including both short- and long-answer questions to reinforce learning
Principles of Soft Computing Using Python Programming is ideal for researchers and engineers in a variety of fields looking for new solutions to computing problems, as well as for advanced students in programming or the computer sciences.
商品描述(中文翻譯)
**使用 Python 程式設計的軟計算原則**
**一本易於理解的軟計算革命性技術指南**
軟計算是一種計算方法，旨在模擬人類思維獨特的能力，將不確定性和不精確性融入推理中。它特別適合於那些僵硬的分析模型無法考慮到多樣性和模糊性的計算操作。隨著機器學習和人工智慧在計算領域中越來越重要，軟計算技術徹底改變計算的潛力從未如此巨大。
《使用 Python 程式設計的軟計算原則》為讀者提供了應用軟計算模型和技術於實際計算問題所需的知識。書中首先討論了軟計算或模糊計算的基礎知識及其與硬計算的區別，接著描述了不同的軟計算模型及其多種應用，包括實證和理論。最終形成了一套工具，能夠為最棘手的計算問題提供新的解決方案。
《使用 Python 程式設計的軟計算原則》的讀者還將發現：
- 每章附有 Python 代碼和逐步註解，以說明應用
- 詳細討論主題，包括人工神經網絡、粗集理論、遺傳演算法等
- 每章結尾有練習題，包括短答題和長答題，以加強學習
《使用 Python 程式設計的軟計算原則》非常適合各領域的研究人員和工程師尋找計算問題的新解決方案，以及計算機科學或程式設計的高級學生。
作者簡介
Gypsy Nandi, PhD, is an Assistant Professor in the Department of Computer Applications at Assam Don Bosco University, Guwahati, India, and Coordinator of VanitAgrata, an empowerment cell of Assam Don Bosco University that teaches rural women digital awareness skills. She has authored two books on data science and soft computing and has also published extensively on machine learning and related subjects.
作者簡介(中文翻譯)
Gypsy Nandi, PhD, 是印度古瓦哈提阿薩姆唐博斯科大學計算機應用系的助理教授，並擔任VanitAgrata的協調員，這是一個旨在教授農村女性數位意識技能的賦權單位。她著有兩本關於數據科學和軟計算的書籍，並在機器學習及相關主題上發表了大量的研究。
