Book
Fuzzy_Logic_and_Expert_Systems_Applications
| Identifier | --corneliust-1220 |
|---|---|
| Penulis / Pengarang | Cornelius T. Leonde |
| Kata Kunci | Fuzzy_Logic |
| Tanggal Publikasi | 08 Jun 2015 |
| Bahasa | Bahasa inggris |
| Abstrak / Deskripsi | Inspired by the structure of the human brain, artificial neural networks have been widely apphed to fields such as pattern recognition, optimization, coding, control, etc., because of their ability to solve cumbersome or intractable problems by learning directly from data. An artificial neural network usually consists of a large number of simple processing units, i.e., neurons, via mutual interconnection. It learns to solve problems by adequately adjusting the strength of the interconnections according to input data. Moreover, the neural network adapts easily to new environments by learning, and can deal with information that is noisy, inconsistent, vague, or probabilistic |
Attached Files / Download (1)
| No | Nama Berkas | Format | Ukuran | Aksi |
|---|---|---|---|---|
| 1 | 1998 Fuzzy_Logic_and_Expert_Systems_Applications.pdf | application/pdf | 16,2 MB | ⬇️ Buka / Download |
Comments & Discussion (0)
Belum ada komentar untuk koleksi ini. Jadilah yang pertama berdiskusi!