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編程的軟計算原則
一本介紹軟計算革命性技術的易懂指南
軟計算是一種計算方法，旨在模仿人類思維中將不確定性和模糊性融入推理過程的獨特能力。它特別適用於計算操作，傳統的嚴格分析模型無法解釋可能解的多樣性和模糊性的情況。隨著機器學習和人工智能在計算領域中的日益重要，軟計算技術革命計算的潛力前所未有。
《使用Python編程的軟計算原則》為讀者提供了應用軟計算模型和技術解決實際計算問題所需的知識。從對軟計算和硬計算的基礎討論開始，它描述了不同的軟計算模型及其眾多的應用，包括實際和理論應用。結果是一套能夠產生新解決方案的工具，用於解決最棘手的計算問題。
《使用Python編程的軟計算原則》的讀者還將找到：
- 每章附有Python代碼和逐步註釋，以說明應用
- 詳細討論人工神經網絡、粗糙集理論、遺傳算法等主題
- 每章末尾的練習，包括簡答和長答問題，以加強學習
《使用Python編程的軟計算原則》非常適合各個領域的研究人員和工程師尋找計算問題的新解決方案，同時也適合計算機編程或計算機科學的高級學生。
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博士是印度古瓦哈蒂阿薩姆唐博斯科大學計算機應用系的助理教授，也是VanitAgrata的協調員。VanitAgrata是阿薩姆唐博斯科大學的一個賦權單位，教授鄉村婦女數字意識技能。她撰寫了兩本關於數據科學和軟計算的書籍，並在機器學習和相關主題上發表了大量文章。
