The simplicial neural cell and its mixed-signal circuit implementation: an efficient neural-network architecture for intelligent signal processing in portable multimedia applications
Tóm tắt
This paper introduces a novel neural architecture which is capable of similar performance to any of the "classic" neural paradigms while having a very simple and efficient mixed-signal implementation which makes it a valuable candidate for intelligent signal processing in portable multimedia applications. The architecture and its realization circuit are described and the functional capabilities of the novel neural architecture called a simplicial neural cell are demonstrated for both regression and classification problems including nonlinear image filtering.
Từ khóa
#Circuits #Very large scale integration #Signal processing #Filtering #Neural networks #Feedforward neural networks #Piecewise linear techniques #Application software #Support vector machines #Signal processing algorithmsTài liệu tham khảo
lin, 1996, Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems
10.1088/0957-4484/10/2/312
10.1109/ISCAS.2001.921258
10.1016/S0038-1101(99)00074-X
castleman, 1996, Digital Image Processing
hassoun, 1995, Fundamentals of Artificial Neural Networks
10.1109/81.847875
10.1109/ISCAS.2001.921355
10.1109/5.752516
10.1109/PGEC.1965.264137
10.1109/ICMNN.1994.593713
10.1073/pnas.61.4.1238
vapnik, 1998, Statistical Learning Theory
1995, Enhanced Learning for Evolutive Neural Architecture, Benchmark Data
10.1109/ICVD.1997.568194
10.1109/81.754847
10.1109/IJCNN.1999.831065
10.1109/81.728862
widrow, 1985, Adaptive Signal Processing
dogaru, 2000, A compact universal cellular neural network cell based on resonant tunnelling diodes: Circuit design, model and functional capabilities, Proc Int Workshop Cellular Neural Networks Applicat, 183
10.1109/PROC.1977.10589
10.1109/TCS.1977.1084349
10.1142/S021812749900002X
10.1142/WSSNSA