عنوان

Data-driven modeling

شابک

9789400775053

کد کشور

IR

شماره

EN-54566

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

کشور محل نشر

IR

عنوان اصلي

Data-driven modeling

نام عام مواد

[Book]

ساير اطلاعات عنواني

:using MATLAB@221E in water resources and environmental engineering

نام نخستين پديدآور

/ Shahab Araghinejad

محل نشرو پخش و غیره

Dordrecht

نام ناشر، پخش کننده و غيره

: Springer,

تاریخ نشرو بخش و غیره

, 2014.

عنوان فروست

(Water science and technology library

مشخصه جلد

; 67)

متن يادداشت

Electronic

متن يادداشت

Includes bibliographical references and index..

متن يادداشت

Summary: "Data-Driven Modeling: Using MATLAB: in Water Resources and Environmental Engineering" provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.

متن يادداشت

Basic Statistics -- Regression Based Models -- Time Series Modeling -- Artificial Neural Networks -- Support Vector Machines -- Fuzzy Models -- Hybrid Models and Multi Model Data Fusion.

عنوان

Water science and technology library

شماره جلد

67

موضوع مستند نشده

Earth Sciences

موضوع مستند نشده

Hydrogeology

موضوع مستند نشده

Hydrology/Water Resources

موضوع مستند نشده

Math. Appl. in Environmental Science

موضوع مستند نشده

Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution

موضوع مستند نشده

Environmental Monitoring/Analysis

موضوع مستند نشده

Environmental Management

موضوع مستند نشده

Water-supply engineering, Computer programs

موضوع مستند نشده

Environmental engineering, Computer programs

شماره رده

مستند نام اشخاص تاييد نشده

Araghinejad, Shahab

کشور

ایران

نام ميزبان

9789400775053.pdf

شماره دسترسي

عادی

اطلاعات مختصر

عادی

تاريخ و ساعت مذاکره و دسترسي

9789400775053.pdf

نوع فرمت الکترونيکي

متن

وضعیت فهرست نویسی

old catalog

فرمت انتشار

e

نوع ماده

BL

پیشوند ISBD اعمال شده است

1

سطح دسترسي

a

تكميل شده

Y