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| Preface | ||
| Acknowledgments | ||
| About the author | ||
| 1 | Object-Oriented Analysis, Design and Development of Artificial Neural Networks | 1 |
| 2 | Evolutionary Computation | 37 |
| 3 | Hybrid Evolutionary Algorithms and Artificial Neural Networks | 69 |
| 4 | An Evolutionary Programming Approach to Reactive Power Planning | 83 |
| 5 | Optimal Reactive Power Dispatch Using Evolutionary Programming | 109 |
| 6 | Application of Evolutionary Programming to Transmission Network Planning | 117 |
| 7 | Application of Evolutionary Programming to Generator Parameter Estimation | 127 |
| 8 | Evolutionary Programming for Economic Dispatch of Units with Non-Smooth Input-Output Characteristic Functions | 141 |
| 9 | Power Flow Control in Facts Using Evolutionary Programming | 149 |
| 10 | Multi-Time-Interval Scheduling for Daily Operation of a Two-Co-Generation System with Evolutionary Programming | 159 |
| 11 | Application of Evolutionary Programming to Fault Section Estimation | 171 |
| 12 | Neural Networks for Fault Diagnosis in HVDC Systems | 183 |
| 13 | An Ann Approach to the Diagnosis of Transformer Faults | 195 |
| 14 | Real-Time Frequency and Harmonic Evaluation Using Artificial Neural Networks | 209 |
| 15 | Artificial Neural Network Applications in Digital Distance Relay | 221 |
| 16 | Application of Artificial Neural Networks to Transient Stability Assessment | 235 |
| 17 | Application of Neural Networks and Evolutionary Programming to Short-Term Load Forecasting | 245 |
| Select Bibliography | 253 | |
| Index | 261 |
| Price | Condition | Delivery | Seller | Action |
| $254.40 | Digital |
| WonderClub |
Matthew Sager
reviewed Intelligent System Applications in Power Engineering: Evolutionary Programming and Neural Networks on March 31, 2015
Intelligent System Applications in Power Engineering: Evolutionary Programming and Neural Networks
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