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An Introduction to Neural Network Methods for Differential Equations
255.00 ريـال

An Introduction to Neural Network Methods for Differential Equations

كن أول من يقيِّم هذا المنتج 

255.00 ريـال 

  - ستوفر -255.00 ريـال
الأسعار تشمل ضريبة القيمة المضافة  التفاصيل
الشحن مجاني التفاصيل
رقم ال ISBN
9789401798150
الفئات
الرياضيات
الكاتب
Neha Yadav, Anupam Yadav and Manoj Kumar
الناشر
Springer
الوصف:

This book introduces a variety of neural network methods for solving differential equations arising in science and engineering. The emphasis is placed on a deep understanding of the neural network techniques, which has been presented in a mostly heuristic and intuitive manner. This approach will enable the reader to understand the working, efficiency and shortcomings of each neural network ...

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حالة السلعة:
جديدة
البائع:
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معلومات المنتج

  •  

    المواصفات

    رقم ال ISBN
    9789401798150
    الرقم المصنعي
    2724499741135
    حزمة سمك
    23.4 centimeters
    وزن الحزمة
    220 grams
    رقم ال ISBN
    9789401798150
    الرقم المصنعي
    2724499741135
    حزمة سمك
    23.4 centimeters
    وزن الحزمة
    220 grams
    EAN-13
    9789401798150
    الفئات
    الرياضيات
    الرقم المميز للسلعة
    2724499741135
    المؤلفين
    الكاتب
    Neha Yadav, Anupam Yadav and Manoj Kumar
    المؤلفين
    الناشر
    Springer
    معلومات تقنية
    غلاف الكتاب
    غلاف عادي
    اللغات والبلدان
    لغة الكتاب
    الانجليزية
    إقرأ المزيد
  •  

    الوصف:

    This book introduces a variety of neural network methods for solving differential equations arising in science and engineering. The emphasis is placed on a deep understanding of the neural network techniques, which has been presented in a mostly heuristic and intuitive manner. This approach will

    This book introduces a variety of neural network methods for solving differential equations arising in science and engineering. The emphasis is placed on a deep understanding of the neural network techniques, which has been presented in a mostly heuristic and intuitive manner. This approach will enable the reader to understand the working, efficiency and shortcomings of each neural network technique for solving differential equations. The objective of this book is to provide the reader with a sound understanding of the foundations of neural networks and a comprehensive introduction to neural network methods for solving differential equations together with recent developments in the techniques and their applications.The book comprises four major sections. Section I consists of a brief overview of differential equations and the relevant physical problems arising in science and engineering. Section II illustrates the history of neural networks starting from their beginnings in the 1940s through to the renewed interest of the 1980s. A general introduction to neural networks and learning technologies is presented in Section III. This section also includes the description of the multilayer perceptron and its learning methods. In Section IV, the different neural network methods for solving differential equations are introduced, including discussion of the most recent developments in the field.Advanced students and researchers in mathematics, computer science and various disciplines in science and engineering will find this book a valuable reference source.

 

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