Search bar JS的問題，透過圖書和論文來找解法和答案更準確安心。 我們查出實價登入價格、格局平面圖和買賣資訊

Liquid History: An Illustrated Guide to London’’s Greatest Pubs

為了解決Search bar JS的問題，作者Warland, John 這樣論述：

An illustrated guide to London’s best pubs and their extraordinary history, presented by the founder of the world-famous Liquid History Tours Pull up a stool for a thirst-quenching trundle through London’s liquid history in search of the city’s greatest pubs. We pop in for a pint in Shakespeare’

s local, pull up a stool at Jack the Ripper’s bar, and push open the bloodstained doors of the Bucket of Blood. Exploring the watering holes of London’s writers and artists, its most notorious criminals and celebrated figures, from architectural marvels to secretive backstreet boozers, we help join

the dots for London’s ultimate knees-up. Liquid History is a beautifully illustrated love letter to London’s finest hostelries, written by the city’s leading pub tour guide and host of the celebrated Liquid History Tours. Profiling over 50 timeless boozers, this book tells the story of London’s his

tory and the taverns that have hosted, harbored, and refreshed its leading characters.

Foundations of Sport and Exercise Psychology

為了解決Search bar JS的問題，作者Weinberg, Robert S./ Gould, Daniel S. 這樣論述：

The leading textbook in sport and exercise psychology is back in a revised seventh edition, and it again raises the bar with its engaging introduction to the field. Foundations of Sport and Exercise Psychology, Seventh Edition With Web Study Guide, offers both students and new practitioners a c

omprehensive view of sport and exercise psychology, drawing connections between research and practice and capturing the excitement of the world of sport and exercise. Internationally respected authors Robert Weinberg and Daniel Gould continue to gather and incorporate feedback from teachers and stu

dents with each edition, building a text that addresses emerging trends and remains relevant and up to date. In-depth learning aids have been refreshed, including chapter objectives and summaries, sidebars, key terms, key points, and discussion questions to help students think more critically about

applying the material. Other updates to the seventh edition include the following: - A new chapter on diversity and inclusion addressing topics related to gender, ethnicity, race, sexual orientation, and disability - New content on popular and emerging areas such as grit, mindfulness, organization

al sport psychology, and technology in sport psychology - Additional modern-day practical examples and anecdotes to better illustrate concepts - Updated references, including more contemporary sources Foundations of Sport and Exercise Psychology provides students with a unique learning experience-

-taking them on a journey through the field's origins, key concepts, research development, and career options available in the field. After this introduction to the field, the text shifts focus to personal factors that affect performance and behavior in sport, physical education, and exercise settin

gs. It augments those concepts by factoring in situational circumstances that influence behavior, group interaction and processes, and the use of psychological techniques to help people perform more effectively. Students will gain critical insights into the role psychological factors play in health

and exercise and the psychological consequences of participation in sport and physical activity, including children's psychological development through sport participation, aggression in sport, and moral development and good sporting behavior in sport and physical activity contexts. The updated web

study guide serves as an important learning tool to support the educational journey. With more than 100 engaging activities, it allows students to apply the concepts from the text by completing activities for each chapter: - Use actual sport and exercise psychology instruments to assess their skil

ls - Determine how to respond to real-life scenarios (with short answers or essays) - Review research studies and experiments - Search the Internet for relevant information - Apply and test their understanding of principles and concepts of sport and exercise psychology Many of the study guide a

ctivities offer compelling audio and video clips that reveal how sport psychology consultants communicate with athletes and coaches to improve athletic experiences. These clips feature esteemed experts from the field discussing concepts that they have studied and refined during their professional ca

reers. To further emphasize practical application, the activities can be integrated throughout a full semester, turning course units into a unified whole that builds upon itself for greater understanding of the field. In addition to the web study guide, instructors will have access to a full suite

of ancillaries: an instructor guide, test package, chapter quizzes, and presentation package plus image bank. Plus instructors have access to a special instructor video library featuring more than 120 video clips. The updated seventh edition of Foundations of Sport and Exercise Psychology continue

s to ensure that students are well equipped--and excited--to enter the field of sport psychology, fully prepared for the challenges they may encounter as well as the possibilities.

創新啟發式水母優化演算法於工程管理之應用

為了解決Search bar JS的問題，作者NHAT DINH TRUONG 這樣論述：

ABTRACT iACKNOWLEDGEMENTS iiiTABLE OF CONTENTS ivLIST OF FIGURES ixLIST OF TABLES xiABBREVIATIONS AND SYMBOLS xiiiAbbreviations xiiiSymbols xvCHAPTER 1: INTRODUCTION 11.1 Research Background and Motivations 11.2 Research Objectives 31.3 Research Scope 31.4 Struct

ure of Dissertation 4CHAPTER 2: LITERATURE REVIEW 52.1 Background of Optimization Problem 52.2 Review of Single Metaheuristic Optimization 72.3 Review of Multi-Objective Optimization 102.4 Enhancing Machine Learning Performance by Metaheuristic Optimization 12CHAPTER 3: SINGLE JELL

YFISH SEARCH OPTIMIZER 183.1 Inspiration 183.2 Mathematical Model for the Optimization Algorithm 203.2.1 Ocean Current 213.2.2 Jellyfish Swarm 233.2.3 Time Control Mechanism 243.3 Population initialization 263.4 Boundary Conditions 313.5 Schematic Representation of OSOJS Opti

mizer 313.6 Schematic Representation of SOJS Optimizer 31CHAPTER 4: MULTIOBJECTIVE JELLYFISH SEARCH OPTIMIZER 324.1 Mechanisms of Motion of MOJS 324.1.1 Elite Population 324.1.2 Elitist Selection 324.1.3 Lévy Flight 344.1.4 Update Archive Population 344.1.5 Mathematical Multi

-Objective Jellyfish Search Optimizer 354.2 Increase Diversification by Opposition-Based Jumping 364.3 Pseudo-Code and Flowchart of MOJS 36CHAPTER 5: EVALUATION JS ALGORITHM BY MATHEMATICAL TEST 395.1 Mathematical Benchmark Functions 395.1.1 Single Objective Functions 39a. Small/Av

erage-scale Functions 40b. Large-scale Functions (CEC2005) 435.1.2 Multi-Objective Functions 445.2 Performance Metrics 455.2.1 Evaluation of Single-Objective Algorithm 45a. Hit Rate 45b. Wilcoxon Rank-sum Test 45c. Computation Time 465.2.2 Evaluation of Multi-Objective Algori

thm 46a. Hypervolume Index 46b. Generational Distance 46c. Spacing (SP) 47d. Wilcoxon Rank-sum Test 475.3 Parameter settings 485.3.1 Parameters for Single Objective Algorithm 48a. Effect of Population Initialization Techniques on Solution Quality 48b. Balancing exploration an

d exploitation 48c. Parameters for Single-Objective Algorithm 545.3.2 Parameters for Multi-Objective Algorithm 545.4 Algorithm Comparison on Solving Benchmark Functions 555.4.1 Comparision of OSOJS with SOJS 555.4.2 Comparision of Single Objective Algorithms 555.4.3 Comparions of M

ultiple Objective Algorithms 755.5 Performance of SOJS and MOJS algorithms 905.5.1 Performance of Single Objective Algorithm (SOJS) 90a. Capacity of Exploration 90b. Capacity of Exploitation 90c. Convergence Capability 915.5.2 Performance of Multiple Objective Algorithm (MOJS) 9

3CHAPTER 6: SINGLE OBJECTIVE JELLYFISH SEARCH FOR SOLVING STRUCTURAL PROBLEMS 946.1 Discrete Design Optimization of Tower Structures 946.1.1 Formulation of Optimization Problem 946.1.2 Determination of Population Size and Number of Iterations 966.1.3 Sensitivity analysis of Initial Value

εo 986.2 Structural Tower Designs 986.2.1 25-Bar Tower 986.2.2 52-Bar Tower 1036.2.3 582-Bar Tower 1036.3 Discussion 109CHAPTER 7: MULTIOBJETCIVE JELLYFISH SEARCH FOR SOLVING STRUCTURAL PROBLEMS 1107.1 Constrained Structural Problem 1107.2 Structural tower designs 1127.2.

1 25-Bar Tower Design 1127.2.2 160-Bar Tower Design 1157.2.3 942-Bar Tower Design 1197.3 Discussion 121CHAPTER 8: APPLICATION OF METAHEURISTIC OPTIMIZATION IN MACHINE LEARNING 1238.1 Least Squares Support Vector Regression and Feature–Based Regressions 1238.1.1 Least Squares Suppor

t Vector Regression 1238.1.2 Feature–Based Regressions 1248.1.3 Evaluation 124a. Cross-Fold Validation 124b. Performance Metrics 1258.2 Optimized Regression System 1268.2.1 JS-WFLSSVR System 1268.2.2 Graphical User Interface 1268.3 Experiment and Results 1318.3.1 Data Coll

ection 1318.3.2 System Evaluation 1328.3.3 Sensitivity of Performance Metrics to Feature Selection 1338.4 Discussion 139CHAPTER 9: CONCLUTIONS AND RECOMMNEDATIONS 1429.1 Review Research Purposes 1429.2 Research Contributions 1429.3 Research Limitation 1449.4 Future Research W

orks 144REFERENCES 146Appendix A. Used Hardware and Software 159Appendix B. Tutorial of SOJS 160B.1 SOJS for Benchmark Functions 160B.2 SOJS for Structural Problems 162B.2.1 25 Bar Tower Design 162B.2.2 52 Bar Tower Design 165B.2.3 582 Bar Tower Design 166Appendix C. Tutor

ial of MOJS 167C.1 MOJS for Benchmark Functions 167C.2 MOJS for Structural Problems 169C.2.1 25 Bar Tower Design 169C.2.2 160 Bar Tower Design 171C.2.3 942 Bar Tower Design 173Appendix D. Tutorial of JS-WFLSSVR 175D.1 Map of tutorial 175D.2 Design Interface of JS-WFLLSVR 1

75D.2.1 Main 175D.2.2 weightlssvr_evaluation_prediction 179D.2.3 view_result 188D.3 Guide of using JS-WFLLSVR 190D.2.1 Evaluation 190D.2.2 Prediction 200Appendix E. MATLAB Codes 207E.1 MATLAB Codes of SOJS Algorithm 207E.2 MATLAB Codes of MOJS Algorithm 231E.3 MATLAB Codes

of SOJS for Sovling Tower Design Problems 244E.3.1 25 Bar Tower Design 244E.3.2 52 Bar Tower Design 248E.3.3 582 Bar Tower Design 252E.4 MATLAB Codes of MOJS for Sovling Tower Design Problems 257E.4.1 25 Bar Tower Design 257E.4.2 160 Bar Tower Design 261E.4.3 942 Bar Tower Desi

gn 268E.5 MATLAB Codes of JS-WFLSSVR Model 273Appendix F. Data for JS-WFLSSVR Model 284