Difference Equations and Machine Learning
暫譯: 差分方程與機器學習
Stipanovic, Dusan
- 出版商: Springer
- 出版日期: 2025-10-20
- 售價: $2,030
- 貴賓價: 9.5 折 $1,929
- 語言: 英文
- 頁數: 143
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 303200909X
- ISBN-13: 9783032009098
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相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
商品描述
This book presents in-depth explanations of well-known and recognized behaviors of neural networks in machine learning. In addition, the author provides novel technical analyses of behaviors of discrete-time dynamical systems modeled as difference equations. These analyses and their outcomes are closely related to models of very well-known neural networks such as Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) neural networks, which are widely used in machine learning and artificial intelligence (AI) applications. The author also discusses difference equations and their relevance to neural networks, machine learning, and AI.
商品描述(中文翻譯)
本書深入解釋了在機器學習中神經網絡的知名和公認行為。此外，作者提供了對作為差分方程建模的離散時間動態系統行為的新穎技術分析。這些分析及其結果與非常知名的神經網絡模型密切相關，例如長短期記憶（Long Short-Term Memory, LSTM）和門控循環單元（Gated Recurrent Unit, GRU）神經網絡，這些模型在機器學習和人工智慧（AI）應用中被廣泛使用。作者還討論了差分方程及其與神經網絡、機器學習和人工智慧的相關性。
作者簡介
Dusan Stipanovic, Ph.D., is a Professor in the Coordinated Science Laboratory and Department of Industrial and Enterprise Systems Engineering at University of Illinois Urbana-Champaign. He received his B.S. in Electrical Engineering from the University of Belgrade, Serbia and his M.S.E.E. and Ph.D. in Electrical Engineering from Santa Clara University, California. Dr. Stipanovic's research interests include differential and difference equations, control and stability theory, neural networks, and differential games with applications in control of autonomous vehicles, machine learning and AI, precision agriculture, circuits, and medical robotics.
作者簡介(中文翻譯)
Dusan Stipanovic 博士是伊利諾伊大學香檳分校協調科學實驗室及工業與企業系統工程系的教授。他在塞爾維亞的貝爾格萊德大學獲得電機工程學士學位，並在加州的聖克拉拉大學獲得電機工程碩士及博士學位。Stipanovic 博士的研究興趣包括微分方程和差分方程、控制與穩定性理論、神經網絡，以及具有應用於自動駕駛車輛控制、機器學習與人工智慧、精準農業、電路和醫療機器人的微分博弈。
