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The table of contents for Chapter 11 is as follows
11.1 Introduction
11.2 Simple Recurrent
Topolgies
11.3 Adapting the Feedback
Parameter
11.4 Unfolding Recurrent
Networks in Time
11.5 The Distributed TLFN
Topology
11.6 Dynamic Systems
11.7 Recurrent Neural
Networks
11.8 Learning Paradigms for
Recurrent Systems
11.9 Applications of
Dynamic Networks to System Identification and Control
11.10 Hopfield Networks
11.11 Grossberg's Additive
Model
11.12 Beyond First Order
Dynamics: Freeman's Model
11.13 Conclusions
11.14 Exercises
11.15 NeuroSolutions
Examples
11.16 Concept Map for
Chapter 11
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