Computational Intelligence in a Nutshell | |
Artificial vs. Computational Intelligence | p. 3 |
Artificial Intelligence: The Pioneer | p. 4 |
Computational Intelligence: The Successor | p. 22 |
Key Differences Between AI and CI | p. 27 |
Summary | p. 29 |
Suggested Reading | p. 30 |
A Roadmap Through the Computational Intelligence Maze | p. 31 |
Strengths and Weaknesses of CI Approaches | p. 31 |
Key Scientific Principles of Computational Intelligence | p. 42 |
Key Application Areas of Computational Intelligence | p. 45 |
Summary | p. 50 |
Suggested Reading | p. 50 |
Let's Get Fuzzy | p. 51 |
Fuzzy Systems in a Nutshell | p. 51 |
Benefits of Fuzzy Systems | p. 60 |
Fuzzy Systems Issues | p. 62 |
How to Apply Fuzzy Systems | p. 63 |
Typical Applications of Fuzzy Systems | p. 65 |
Fuzzy Systems Marketing | p. 68 |
Available Resources for Fuzzy Systems | p. 70 |
Summary | p. 71 |
Suggested Reading | p. 72 |
Machine Learning: The Ghost in the Learning Machine | p. 73 |
Neural Networks in a Nutshell | p. 76 |
Support Vector Machines in a Nutshell | p. 84 |
Benefits of Machine learning | p. 91 |
Machine Learning Issues | p. 96 |
How to Apply Machine learning Systems | p. 97 |
Typical Machine Learning Applications | p. 105 |
Machine Learning Marketing | p. 108 |
Available Resources for Machine Learning | p. 111 |
Summary | p. 112 |
Suggested Reading | p. 113 |
Evolutionary Computation: The Profitable Gene | p. 115 |
Evolutionary Computation in a Nutshell | p. 116 |
Benefits of Evolutionary Computation | p. 128 |
Evolutionary Computation Issues | p. 130 |
How to Apply Evolutionary Computation | p. 130 |
Typical Applications of Evolutionary Computation | p. 136 |
Evolutionary Computation Marketing | p. 141 |
Available Resources for Evolutionary Computation | p. 142 |
Summary | p. 143 |
Suggested Reading | p. 144 |
Swarm Intelligence: The Benefits of Swarms | p. 145 |
Swarm Intelligence in a Nutshell | p. 146 |
Benefits of Swarm Intelligence | p. 157 |
Swarm Intelligence Issues | p. 159 |
How to Apply Swarm Intelligence | p. 160 |
Typical Swarm Intelligence Applications | p. 166 |
Swarm Intelligence Marketing | p. 171 |
Available Resources for Swarm Intelligence | p. 173 |
Summary | p. 173 |
Suggested Reading | p. 174 |
Intelligent Agents: The Computer Intelligence Agency (CIA) | p. 175 |
Intelligent Agents in a Nutshell | p. 176 |
Benefits of Intelligent Agents | p. 186 |
Intelligent Agents Issues | p. 189 |
How to Apply Intelligent Agents | p. 190 |
Typical Applications of Intelligent Agents | p. 193 |
Intelligent Agents Marketing | p. 196 |
Available Resources for Intelligent Agents | p. 199 |
Summary | p. 199 |
Suggested Reading | p. 200 |
Computational Intelligence Creates Value | |
Why We Need Intelligent Solutions | p. 203 |
Beat Competition | p. 204 |
Accelerate Innovations | p. 207 |
Produce Efficiently | p. 210 |
Distribute Effectively | p. 212 |
Impress Customers | p. 215 |
Enhance Creativity | p. 217 |
Attract Investors | p. 220 |
Improve National Defense | p. 222 |
Protect Health | p. 225 |
Have Fun | p. 228 |
Summary | p. 231 |
Suggested Reading | p. 231 |
Competitive Advantages of Computational Intelligence | p. 233 |
Competitive Advantage of a Research Approach | p. 233 |
Key Competitive Approaches to Computational Intelligence | p. 237 |
How Computational Intelligence Beats the Competition | p. 247 |
Summary | p. 255 |
Suggested Reading | p. 256 |
Issues in Applying Computational Intelligence | p. 257 |
Technology Risks | p. 257 |
Modeling Fatigue | p. 261 |
Looks Too Academic | p. 263 |
Perception of High Cost | p. 265 |
Missing Infrastructure | p. 267 |
No Marketing | p. 269 |
Wrong Expectations | p. 271 |
No Application Methodology | p. 274 |
Summary | p. 275 |
Suggested Reading | p. 276 |
Computational Intelligence Application Strategy | |
Integrate and Conquer | p. 279 |
The Nasty Reality of Real-World Applications | p. 280 |
Requirements for Successful Real-World Applications | p. 282 |
Why Integration Is Critical for Real-World Applications | p. 284 |
Integration Opportunities | p. 287 |
Integrated Methodology for Robust Empirical Modeling | p. 294 |
Integrated Methodology in Action | p. 301 |
Summary | p. 309 |
Suggested Reading | p. 309 |
How to Apply Computational Intelligence | p. 311 |
When Is Computational Intelligence the Right Solution? | p. 311 |
Obstacles in Applying Computational Intelligence | p. 313 |
Methodology for Applying CI in a Business | p. 316 |
Computational Intelligence Project Management | p. 322 |
CI for Six Sigma and Design for Six Sigma | p. 331 |
Summary | p. 340 |
Suggested Reading | p. 341 |
Computational Intelligence Marketing | p. 343 |
Research Marketing Principles | p. 343 |
Techniques - Delivery, Visualization, Humor | p. 348 |
Interactions Between Academia and Industry | p. 359 |
Marketing CI to a Technical Audience | p. 363 |
Marketing to a Nontechnical Audience | p. 369 |
Summary | p. 372 |
Suggested Reading | p. 373 |
Industrial Applications of Computational Intelligence | p. 375 |
Applications in Manufacturing | p. 375 |
Applications in New Product Development | p. 390 |
Unsuccessful Computational Intelligence Applications | p. 401 |
Acknowledgements | p. 403 |
Summary | p. 403 |
Suggested Reading | p. 403 |
The Future of Computational Intelligence | |
Future Directions of Applied Computational Intelligence | p. 407 |
Supply-Demand-Driven Applied Research | p. 407 |
Next-Generation on Applied Computational Intelligence | p. 413 |
Projected Industrial Needs | p. 425 |
Sustainability of Applied Computational Intelligence | p. 431 |
Summary | p. 433 |
Suggested Reading | p. 434 |
Glossary | p. 435 |
Index | p. 447 |
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