Understanding Neural Networks

Rating:
Summary: Badly out of date
Review: A fairly good text in terms of explanation of theory and so on, but the accompanying disk contains neural network simulation software that is six or eight years old. I bought the Macintosh version, and I couldn't even read some of the files (either because the file format was ancient or because the floppy disk was so old the files had been corrupted by ambient radiation). I had to dig out my old PowerBook so I had a floppy disk drive to use. Big surprise - I bought it in a bookstore and the publication date was not displayed on the outside of the cellophane wrapped package.

Rating:
Summary: How can I get this book? please help!
Review: Anyone who can help me get this book, please email me [e-mail]
THANKS A LOT!

Rating:
Summary: Badly out of date
Review: Don't waste your money. This isn't a bad text, in terms of explaining the theory, but it includes a 3.5" floppy disk that is so old my computer couldn't even read the files. It's not worth the money without the software. The author does not appear to have published any related work in the last four or five years, and I have not found any pointers to updated software on the Web (probably because the book predates the web). I guess this might make a good museum item, if you don't take the cellophane off it.

Rating:
Summary: Badly out of date
Review: Don't waste your money. This isn't a bad text, in terms of explaining the theory, but it includes a 3.5" floppy disk that is so old my computer couldn't even read the files. It's not worth the money without the software. The author does not appear to have published any related work in the last four or five years, and I have not found any pointers to updated software on the Web (probably because the book predates the web). I guess this might make a good museum item, if you don't take the cellophane off it.

Rating:
Summary: Useful workbook to learn about ANNs
Review: Well written workbook for the interested general reader to gain an understanding of neural networks. Although some workbooks come with neural network simulator software for a personal computer (mine did not, and I was unable to evaluate the simulator), the printed workbook itself is extremely interactive and has the reader work through simulations of simple neural networks. This workbook covers the perceptron, minimum error learning, Hebbian learning, competitive learning, attractor networks (single layer, double layer and statistical), and back propagation networks.