Learn IT - Books tags matlab

Vibration Simulation Using MATLAB and ANSYS

CRC Press, 2000

Transfer function form, zpk, state space, modal, and state space modal forms. For someone learning dynamics for the first time or for engineers who use the tools infrequently, the options available for constructing and representing dynamic mechanical models can be daunting. It is important to find a way to put them all in perspective and have them...

MATLAB: An Introduction with Applications

John Wiley & Sons, 2003

An effective way to become MATLAB^® proficient!

Now updated to reflect MATLAB^®, Version 7, this practical guide offers an introduction to understanding and using this powerful program. Starting with basic features, the book covers everything needed to use MATLAB effectively––from...

Introduction to Chemical Engineering Computing

John Wiley & Sons, 2012

Step-by-step instructions enable chemical engineers to master key software programs and solve complex problems

Today, both students and professionals in chemical engineering must solve increasingly complex problems dealing with refineries, fuel cells, microreactors, and pharmaceutical plants, to name a few. With this book as...

Modern Control Engineering (5th Edition)

Prentice Hall, 2009

For senior or graduate-level students taking a first course in Control Theory (in departments of Mechanical, Electrical, Aerospace, and Chemical Engineering).

A comprehensive, senior-level textbook for control engineering.

...

MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence

Apress, 2017

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming...

Introduction to Fuzzy Logic using MATLAB

Syngress Publishing, 2006

The world we live in is becoming ever more reliant on the use of electronics and computers to control the behavior of real-world resources. For example, an increasing amount of commerce is performed without a single banknote or coin ever being exchanged. Similarly, airports can safely land and send off airplanes without ever looking out of a...

Computational Statistics Handbook with MATLAB

CRC Press, 2001

Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice...

MATLAB Simulations for Radar Systems Design

CRC Press, 2004

Simulation is integral to the successful design of modern radar systems, and there is arguably no better software for this purpose than MATLAB. But software and the ability to use it does not guarantee success. One must also:

- Understand radar operations and design philosophy
- Know how to select the radar parameters...

Modeling and Simulation of Systems Using MATLAB and Simulink

CRC Press, 2009

Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB^® and...

MATLAB Programming with Applications for Engineers

CL-Engineering, 2012

MATLAB PROGRAMMING WITH APPLICATIONS FOR ENGINEERS seeks to simultaneously teach MATLAB as a technical programming language while introducing the student to many of the practical functions that make solving problems in MATLAB so much easier than in other languages. The book provides a complete introduction to the fundamentals of good...

Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)

Springer, 2013

This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space. The application of graphs in clustering and visualization has several advantages. A graph of important edges (where edges...

Pattern Recognition: Practices, Perspectives and Challenges (Computer Science, Technology and Applications)

Nova Science Pub Inc, 2013

In this book, the authors present current research in the study of the practices, perspectives and challenges of pattern recognition. Topics include the practical usage of algorithmic probability in pattern recognition; application of pattern recognition in optimization-simulation techniques; pattern recognition applied to spectroscopy;...

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