| 000 | 00598namuu2200205 a 4500 | |
| 001 | 000045781177 | |
| 005 | 20140107133517 | |
| 008 | 140106s2011 moua 001 0 eng | |
| 020 | ▼a 9781604390261 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 082 | 0 4 | ▼a 006.32 ▼2 23 |
| 084 | ▼a 006.32 ▼2 DDCK | |
| 090 | ▼a 006.32 ▼b H442p | |
| 100 | 1 | ▼a Heaton, Jeff. |
| 245 | 1 0 | ▼a Programming neural networks with Encog3 in C# / ▼c Jeff Heaton. |
| 260 | ▼a St. Louis, MO : ▼b Heaton Research, Inc., ▼c 2011. | |
| 300 | ▼a 211 p. : ▼b ill. ; ▼c 25 cm. | |
| 500 | ▼a Includes index. | |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 006.32 H442p | 등록번호 121227857 (1회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Encog is an advanced Machine Learning Framework for Java, C# and Silverlight. This book focuses on using the neural network capabilities of Encog with the C# programming language. This book begins with an introduction to the kinds of tasks neural networks are suited towards. The reader is shown how to use classification, regression and clustering to gain new insights into data. Neural network architectures such as feedforward, self organizing maps, NEAT, and recurrent neural networks are introduced. This book also covers advanced neural network training techniques such as back propagation, quick propagation, resilient propagation, Levenberg Marquardt, genetic training and simulated annealing. Real world problems such as financial prediction, classification and image processing are introduced.
정보제공 :
저자소개
Jeff Heaton(지은이)
<예제로 배우는 비주얼 C++ 6>