Library Hours
Monday to Friday: 9 a.m. to 9 p.m.
Saturday: 9 a.m. to 5 p.m.
Sunday: 1 p.m. to 9 p.m.
Naper Blvd. 1 p.m. to 5 p.m.
LEADER 00000cam a2200781 i 4500
003 OCoLC
005 20240129213017.0
006 m o d
007 cr cnu|||unuuu
008 180201s2018 enk ob 001 0 eng d
019 1021291470|a1082522817
020 9780128137895|q(electronic bk.)
020 0128137894|q(electronic bk.)
029 1 AU@|b000061507066
029 1 AU@|b000065066214
029 1 AU@|b000065066963
029 1 AU@|b000066229793
029 1 AU@|b000066526059
029 1 AU@|b000067075336
029 1 AU@|b000067111901
029 1 AU@|b000068846567
035 (OCoLC)1021172444|z(OCoLC)1021291470|z(OCoLC)1082522817
037 CL0501000018|bSafari Books Online
040 N$T|beng|erda|epn|cN$T|dEBLCP|dNLE|dN$T|dOPELS|dSTF|dYDX
|dD6H|dOCLCF|dINT|dOCLCQ|dU3W|dLVT|dOCLCQ|dUMI|dG3B|dUPM
|dC6I|dOCLCQ|dOCLCO|dK6U|dOCLCQ|dSFB|dOCLCQ|dOCLCO
049 INap
082 04 005.1
082 04 005.1|223
099 Ebook O'Reilly for Public Libraries
100 1 Alanis, Alma Y.,|eauthor.
245 10 Bio-inspired algorithms for engineering /|cAlma Y. Alanis,
Nancy Arana-Daniel, Carlos López-Franco.|h[O'Reilly
electronic resource]
250 First edition.
264 1 Oxford, United Kingdom :|bButterworth-Heinemann, an
imprint of Elsevier,|c[2018]
264 4 |c©2018
300 1 online resource
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
504 Includes bibliographical references and index.
505 0 Intro; Title page; Table of Contents; Copyright;
Dedication; Preface; Acknowledgments; Chapter One: Bio-
inspired Algorithms; Abstract; 1.1. Introduction; 1.2.
Particle Swarm Optimization; 1.3. Artificial Bee Colony
Algorithm; 1.4. Micro Artificial Bee Colony Algorithm;
1.5. Differential Evolution; 1.6. Bacterial Foraging
Optimization Algorithm; References; Chapter Two: Data
Classification Using Support Vector Machines Trained with
Evolutionary Algorithms Employing Kernel Adatron;
Abstract; 2.1. Introduction; 2.2. Support Vector Machines;
2.3. Evolutionary algorithms.
505 8 2.4. The Kernel Adatron algorithm2.5. Kernel Adatron
trained with evolutionary algorithms; 2.6. Results using
benchmark repository datasets; 2.7. Application to
classify electromyographic signals; 2.8. Conclusions;
References; Chapter Three: Reconstruction of 3D Surfaces
Using RBF Adjusted with PSO; Abstract; 3.1. Introduction;
3.2. Radial basis functions; 3.3. Interpolation of
surfaces with RBF and PSO; 3.4. Conclusion; References;
Chapter Four: Soft Computing Applications in Robot Vision;
Abstract; 4.1. Introduction; 4.2. Image tracking; 4.3.
Plane detection; 4.4. Conclusion; References.
505 8 Chapter Five: Soft Computing Applications in Mobile
RoboticsAbstract; 5.1. Introduction to mobile robotics;
5.2. Nonholonomic mobile robot navigation; 5.3. Holonomic
mobile robot navigation; 5.4. Conclusion; References;
Chapter Six: Particle Swarm Optimization to Improve Neural
Identifiers for Discrete-time Unknown Nonlinear Systems;
Abstract; 6.1. Introduction; 6.2. Particle-swarm-based
approach of a real-time discrete neural identifier for
Linear Induction Motors; 6.3. Neural model with particle
swarm optimization Kalman learning for forecasting in
smart grids; 6.4. Conclusions; References.
505 8 Chapter Seven: Bio-inspired Algorithms to Improve Neural
Controllers for Discrete-time Unknown Nonlinear
SystemAbstract; 7.1. Neural Second-Order Sliding Mode
Controller for unknown discrete-time nonlinear systems;
7.2. Neural-PSO Second-Order Sliding Mode Controller for
unknown discrete-time nonlinear systems; 7.3. Neural-BFO
Second-Order Sliding Mode Controller for unknown discrete-
time nonlinear systems; 7.4. Comparative analysis; 7.5.
Conclusions; References; Chapter Eight: Final Remarks;
Index.
520 "Bio-inspired Algorithms for Engineering builds a bridge
between the proposed bio-inspired algorithms developed in
the past few decades and their applications in real-life
problems, not only in an academic context, but also in the
real world. The book proposes novel algorithms to solve
real-life, complex problems, combining well-known bio-
inspired algorithms with new concepts, including both
rigorous analyses and unique applications. It covers both
theoretical and practical methodologies, allowing readers
to learn more about the implementation of bio-inspired
algorithms. This book is a useful resource for both
academic and industrial engineers working on artificial
intelligence, robotics, machine learning, vision,
classification, pattern recognition, identification and
control. Presents real-time implementation and simulation
results for all the proposed schemes. Offers a comparative
analysis and rigorous analysis of the convergence of
proposed algorithms. Provides a guide for implementing
each application at the end of each chapterIncludes
illustrations, tables and figures that facilitate the
reader's comprehension of the proposed schemes and
applications"--|cProvided by publisher
588 Online resource; title from PDF title page (EBSCO, viewed
February 13, 2018).
590 O'Reilly|bO'Reilly Online Learning: Academic/Public
Library Edition
650 0 Computer algorithms.
650 0 Natural computation|xIndustrial applications.
650 0 Evolutionary computation|xIndustrial applications.
650 0 Natural computation|xScientific applications.
650 0 Evolutionary computation|xScientific applications.
650 2 Algorithms
650 6 Algorithmes.
650 6 Calcul naturel|xApplications industrielles.
650 6 Réseaux neuronaux à structure évolutive|xApplications
industrielles.
650 6 Calcul naturel|xApplications scientifiques.
650 6 Réseaux neuronaux à structure évolutive|xApplications
scientifiques.
650 7 algorithms.|2aat
650 7 Computer algorithms|2fast
700 1 Arana-Daniel, Nancy,|eauthor.
700 1 Lopez-Franco, Carlos,|eauthor.
776 08 |iPrint version:|aAlanis, Alma Y.|tBio-inspired algorithms
for engineering.|bFirst edition.|dOxford, United Kingdom :
Butterworth-Heinemann, an imprint of Elsevier, [2018]
|z0128137886|z9780128137888|w(OCoLC)994463742
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
learning.oreilly.com/library/view/~/9780128137895/?ar
|zAvailalbe on O'Reilly for Public Libraries
938 EBL - Ebook Library|bEBLB|nEBL5248394
938 EBSCOhost|bEBSC|n1572302
938 YBP Library Services|bYANK|n15128878
994 92|bJFN