C#中利用Encog 3编程神经网络教程 - CSDN文库

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xvi CONTENTS

5.1 Understanding Propagation Training . . . . . . . . . . . . . . 68

5.1.1 Understanding Backpropagation . . . . . . . . . . . . . 69

5.1.2 Understanding the Manhattan Update Rule . . . . . . 70

5.1.3 Understanding Quick Propagation Training . . . . . . 71

5.1.4 Understanding Resilient Propagation Training . . . . . 72

5.1.5 Understanding SCG Training . . . . . . . . . . . . . . 73

5.1.6 Understanding LMA Training . . . . . . . . . . . . . . 74

5.2 Encog Method & Training Factories . . . . . . . . . . . . . . . 75

5.2.1 Creating Neural Networks with Factories . . . . . . . . 75

5.2.2 Creating Training Methods with Factories . . . . . . . 76

5.3 How Multithreaded Training Works . . . . . . . . . . . . . . . 76

5.4 Using Multithreaded Training . . . . . . . . . . . . . . . . . . 78

5.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80

6 More Supervised Training 83

6.1 Running the Lunar Lander Example . . . . . . . . . . . . . . 85

6.2 Examining the Lunar Lander Simulator . . . . . . . . . . . . . 90

6.2.1 Simulating the Lander . . . . . . . . . . . . . . . . . . 91

6.2.2 Calculating the Score . . . . . . . . . . . . . . . . . . . 93

6.2.3 Flying the Spacecraft . . . . . . . . . . . . . . . . . . . 95

6.3 Training the Neural Pilot . . . . . . . . . . . . . . . . . . . . . 98

6.3.1 What is a Genetic Algorithm . . . . . . . . . . . . . . 99

6.3.2 Using a Genetic Algorithm . . . . . . . . . . . . . . . . 100

6.3.3 What is Simulated Annealing . . . . . . . . . . . . . . 101

6.3.4 Using Simulated Annealing . . . . . . . . . . . . . . . . 101

6.4 Using the Training Set Score Class . . . . . . . . . . . . . . . 103

6.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103

7 Other Neural Network Types 107

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