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State-of-the-art coverage of Kalman filter methods for the design of neural networks This self-contained book consists o
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This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It ha
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Content: Chapter 1 General Information (pages 1–24): Chapter 2 Linear Dynamic Systems (pages 25–55): Chapter 3 Random Pr
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This book uses numerical analysis as the main tool to investigate methods in machine learning and neural networks. The e
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This text for advanced undergraduates and graduate students provides a concise introduction to increasingly important to
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