Preface |
List of Tables |
Fundamentals of Pattern Recognition / Part I: |
Basic Concepts of Pattern Recognition / 0: |
Decision-Theoretic Algorithms / 1: |
Structural Pattern Recognition / 2: |
Introductory Neural Networks / Part II: |
Artificial Neural Network Structures / 3: |
Supervised Training via Error Backpropagation: Derivations / 4: |
Advanced Fundamentals of Neural Networks / Part III: |
Acceleration and Stabilization of Supervised Gradient Training of MLPs / 5: |
Supervised Training via Strategic Search / 6: |
Advances in Network Algorithms for Classification and Recognition / 7: |
Recurrent Neural Networks / 8: |
Neural, Feature, and Data Engineering / Part IV: |
Neural Engineering and Testing of FANNs / 9: |
Feature and Data Engineering / 10: |
Testing and Applications |
Some Comparative Studies of Feedforward Artificial Neural Networks / 11: |
Pattern Recognition Applications / 12: |
Preface |
List of Tables |
Fundamentals of Pattern Recognition / Part I: |
Basic Concepts of Pattern Recognition / 0: |
Decision-Theoretic Algorithms / 1: |
Structural Pattern Recognition / 2: |