✦ LIBER ✦

FPGA Implementations of Neural Networks || Implementation of Self-Organizing Feature Maps in Reconfigurable Hardware

✍ Scribed by Omondi, Amos R.; Rajapakse, Jagath C.

Book ID: 120561804
Publisher: Springer US
Year: 2006
Weight: 392 KB
Category: Article
ISBN: 0387284850
DOI: 10.1007/0-387-28487-7_9

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

FPGA Implementations of Neural Networks

FPGA Implementations of Neural Networks || The REMAP Reconfigurable Architecture: A Retrospective

✍ Omondi, Amos R.; Rajapakse, Jagath C. 📂 Article 📅 2006 🏛 Springer US ⚖ 407 KB

Area–time issues in the VLSI implementat

Area–time issues in the VLSI implementation of self organizing map neural networks

✍ B. Mailachalam; T. Srikanthan 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 263 KB

FPGA implementation of self organizing m

FPGA implementation of self organizing map with digital phase locked loops

✍ Hiroomi Hikawa 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 249 KB

The self-organizing map (SOM) has found applicability in a wide range of application areas. Recently new SOM hardware with phase modulated pulse signal and digital phase-locked loops (DPLLs) has been proposed (Hikawa, 2005). The system uses the DPLL as a computing element since the operation of the

Dynamic MAC-based architecture of artifi

Dynamic MAC-based architecture of artificial neural networks suitable for hardware implementation on FPGAs

✍ N. Nedjah; R.M. da Silva; L.M. Mourelle; M.V.C. da Silva 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 564 KB

Hardware implementation of an artificial

Hardware implementation of an artificial neural network using field programmable gate arrays (FPGA's)

✍ Botros, N.M.; Abdul-Aziz, M. 📂 Article 📅 1994 🏛 IEEE 🌐 English ⚖ 411 KB

The role of the asymptotic dynamics in t

The role of the asymptotic dynamics in the design of FPGA-based hardware implementations of gIF-type neural networks

✍ Horacio Rostro-Gonzalez; Bruno Cessac; Bernard Girau; Cesar Torres-Huitzil 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 665 KB