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Content-addressable memories
are nicely motivated in this chapter and illustrated in terms of two important types of neural
networks: Hopfield
and Kanerva memories .
After conceptually introducing both these memories,
Hopfield networks are presented and discussed in terms of stability. This type of content-addressable
memory is illustrated through a simple example involving the retrieval of entries in a phone book.
In the next section in this chapter Kanerva memories, which unlikely
Hopfield networks can be
auto or heteroassociative, are motivated and introduced in a particularly careful fashion.
The implementation and performance of these memories are also nicely discussed and illustrated.
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The two last sections in this chapter
cover radial basis functions and Kalman
filtering in about one page and a half. Needless to say this will very likely not be enough to properly
familiarize the novice reader with these importante topics,
specially Kalman filtering , which is itself
difficult to be properly motivated and described even in books wholy dedicated to this subject.
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