Deep Neural Networks: Wasd Neuronet Models, Algorithms, and Applications
暫譯: 深度神經網絡：WASD 神經網絡模型、算法與應用

Zhang, Yunong, Chen, Dechao, Ye, Chengxu

Deep Neural Networks: Wasd Neuronet Models, Algorithms, and Applications
  • 出版商: CRC
  • 出版日期: 2020-09-30
  • 售價: $2,330
  • 貴賓價: 9.5 折 $2,214
  • 語言: 英文
  • 頁數: 366
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367656493
  • ISBN-13: 9780367656492
  • 相關分類: Algorithms-data-structures

    • 海外代購書籍(需單獨結帳)

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商品描述

Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications introduces the outlook and extension toward deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors' 20 years of research experience on neuronets, the book explores the models, algorithms, and applications of the WASD neuronet, and allows reader to extend the techniques in the book to solve scientific and engineering problems. The book will be of interest to engineers, senior undergraduates, postgraduates, and researchers in the fields of neuronets, computer mathematics, computer science, artificial intelligence, numerical algorithms, optimization, simulation and modeling, deep learning, and data mining.



Features







  • Focuses on neuronet models, algorithms, and applications






  • Designs, constructs, develops, analyzes, simulates and compares various WASD neuronet models, such as single-input WASD neuronet models, two-input WASD neuronet models, three-input WASD neuronet models, and general multi-input WASD neuronet models for function data approximations






  • Includes real-world applications, such as population prediction






  • Provides complete mathematical foundations, such as Weierstrass approximation, Bernstein polynomial approximation, Taylor polynomial approximation, and multivariate function approximation, exploring the close integration of mathematics (i.e., function approximation theories) and computers (e.g., computer algorithms)






  • Utilizes the authors' 20 years of research on neuronets


商品描述(中文翻譯)

《朝向深度神經網路：WASD 神經網路模型、演算法與應用》介紹了深度神經網路的前景與擴展，重點在於權重與結構決定（WASD）演算法。基於作者在神經網路領域20年的研究經驗，本書探討了WASD神經網路的模型、演算法和應用，並使讀者能夠將書中的技術擴展到解決科學和工程問題。本書將吸引神經網路、計算數學、計算機科學、人工智慧、數值演算法、優化、模擬與建模、深度學習和資料探勘等領域的工程師、高年級本科生、研究生和研究人員的興趣。

特色

- 專注於神經網路模型、演算法和應用
- 設計、構建、開發、分析、模擬和比較各種WASD神經網路模型，例如單輸入WASD神經網路模型、雙輸入WASD神經網路模型、三輸入WASD神經網路模型，以及用於函數數據近似的一般多輸入WASD神經網路模型
- 包含現實世界的應用，例如人口預測
- 提供完整的數學基礎，如魏爾斯特拉斯近似、伯恩斯坦多項式近似、泰勒多項式近似和多變量函數近似，探討數學（即函數近似理論）與計算機（例如計算機演算法）之間的緊密整合
- 利用作者在神經網路領域的20年研究成果

作者簡介

Yunong Zhang received a BSc. degree from Huazhong University of Science and Technology, Wuhan, China, in 1996, an MSc. degree from South China University of Technology, Guangzhou, China, in 1999, and a PhD. degree from Chinese University of Hong Kong, Shatin, Hong Kong, China, in 2003. He is currently a professor at the School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China. Yunong Zhang was supported by the Program for New Century Excellent Talents in Universities in 2007, was presented the Best Paper Award of ISSCAA in 2008 and the Best Paper Award of ICAL in 2011, and was among the Highly Cited Scholars of China selected and published by Elsevier from year 2014 to year 2017. His web-page is now available at http: //sdcs.sysu.edu.cn/content/2477.



Dechao Chen received a BSc. degree from Guangdong University of Technology, Guangzhou, China, in 2013. He is currently pursuing his PhD. degree in Communication and Information Systems at School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China, under the direction of Professor Yunong Zhang. His research interests include robotics, neuronets, and nonlinear dynamics systems.



Chengxu Ye received a BSc. degree from Shanxi Normal University, Xian, China, in 1991, an MSc. degree from Qinghai Normal University, Xining, China, in 2008, and a PhD. degree from Sun Yat-sen University, Guangzhou, China, in 2015. He is currently a professor at School of Computer, Qinghai Normal University, Xining, China. His main research interests include machine learning, neuronets, computation and optimization. He has published over 30 scientific papers in journals and conferences.

作者簡介(中文翻譯)

張宇農於1996年獲得中國武漢華中科技大學的學士學位，1999年獲得中國廣州南方科技大學的碩士學位，並於2003年獲得中國香港中文大學的博士學位。他目前是中國廣州中山大學資訊科學與技術學院的教授。張宇農於2007年獲得新世紀優秀人才計畫的支持，2008年獲得ISSCAA最佳論文獎，2011年獲得ICAL最佳論文獎，並於2014年至2017年期間被Elsevier選為中國高被引學者。他的網頁目前可在http://sdcs.sysu.edu.cn/content/2477找到。

陳德超於2013年獲得中國廣州廣東工業大學的學士學位。他目前在中國廣州中山大學資訊科學與技術學院攻讀通信與信息系統的博士學位，指導教授為張宇農教授。他的研究興趣包括機器人技術、神經網絡和非線性動力學系統。

葉承煦於1991年獲得中國西安山西師範大學的學士學位，2008年獲得中國西寧青海師範大學的碩士學位，並於2015年獲得中國廣州中山大學的博士學位。他目前是中國西寧青海師範大學計算機學院的教授。他的主要研究興趣包括機器學習、神經網絡、計算與優化。他已在期刊和會議上發表了超過30篇科學論文。

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