Title :
Modeling Dynamic Feedforward Neural Networks with VHDL*
Author :
Chen, Xi ; Wang, Gaofeng ; Zhou, Wei ; Xu, Jiangfeng ; Zhang, Qinglin
Author_Institution :
Sch. of Electron. Inf., Wuhan Univ., Hubei
Abstract :
A set of improved equations for dynamic feedforward neural networks is introduced to represent the behavior of the integrated circuit (IC). The rationality of the improved equations is elucidated by studying the relationship between the circuits and the equation parameters. In order to apply the dynamic feedforward neural networks to the design of intelligent IC, the method of modeling and simulation with VHSIC hardware description language is presented, as an important step for hardware implementation. The simulated results indicate that the new dynamic feedforward neural networks can better approximate to the behavior of a dynamic electrical system
Keywords :
feedforward neural nets; hardware description languages; integrated circuit design; logic design; VHDL; VHSIC hardware description language; dynamic electrical system; dynamic feedforward neural network; hardware implementation; integrated circuit design; Circuit simulation; Equations; Feedforward neural networks; Field programmable gate arrays; Hardware design languages; Integrated circuit modeling; Neural networks; Neurons; Physics; Very high speed integrated circuits;
Conference_Titel :
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location :
Hanzhou, Zhejiang
Print_ISBN :
0-7695-2581-4
DOI :
10.1109/IMSCCS.2006.88
