A feedforward neural net with d input neurons and with a single hidden layer of n neurons is given by where a j , v j , w ji Κ¦ R. In this paper we study the approximation of arbitrary functions f: R d β R by a neural net in an L p (m) norm for some finite measure m on R d . We prove that under natu
β¦ LIBER β¦
Universal Approximation Theorem for Interval Neural Networks
β Scribed by Mark R. Baker; Rajendra B. Patil
- Book ID
- 110283747
- Publisher
- Springer
- Year
- 1998
- Tongue
- English
- Weight
- 217 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1385-3139
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