The Configurable Digital Cellular Neural - Hopfield Network

Zeffer, T.; Hidvégi, Timót

doi:10.1109/ines.2006.1689361

Cited by 3 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For any configuration, almost all the adders and multipliers are utilized. Many efforts have been made to architect digital CNN [7], [8], [9]; however, only one has been given account on configurability [5]. Our neural network has a simple structure, built from basic modules [10], [11]; therefore, it can be easily implemented on a FPGA chip [12], [13].…”

Section: Cellular Neural Configuration Control Signal S<2>=1mentioning

confidence: 99%

See 1 more Smart Citation

The Configurable Digital Neural Network with Emulated Digital Cellular Neural Network Cores

Zeffer

Hidvégi

2006

2006 IEEE International Conference on Mechatronics

View full text Add to dashboard Cite

A configurable Artificial Neuron Network that is neural layers to the higher layers and establishes non-linear capable of establishing both the emulated digital Cellular mapping function between the inputs and the outputs of the Neural Network (CNN) and the static Multilayered network. The reduced structure of the general MFNN is the Feedforward Neural Network (MFNN) is described. The two-layered feedforward neural network shown in Figure 1.

show abstract

Section: Cellular Neural Configuration Control Signal S<2>=1mentioning

confidence: 99%

“…The neural network is built out of modules where one basic module is a three weighted input neuron shown in Figure 3 The general Cellular Neural Network [1] and its digital and also described previously [5]. The modules can be counterpart, the digital emulated CNN [2], [3], [4] are cascaded through ports hin and ho01t.…”

mentioning

confidence: 99%

The Configurable Digital Neural Network with Emulated Digital Cellular Neural Network Cores

Zeffer

Hidvégi

2006

2006 IEEE International Conference on Mechatronics

View full text Add to dashboard Cite

show abstract

A Programmable Digital Cellular Neural Network Processing On- and Off-Chip Sensory Information

Zeffer

Hidvergi

2006

2006 10th International Workshop on Cellular Neural Networks and Their Applications

View full text Add to dashboard Cite

In this paper, the architecture of a mixed-signal CNN visual processor with on board photodetecting sensor array analog RAM and a switching matrix to process off chip sensor signals is proposed In our design, the CMOS sensor array possesses high performance readout circuitry and embedded data storage capability. For further compactness, a new template memory structure is built that requires about quarter of silicon size compared to previous designs. The vision chip comprises most of the modules of a sensory system and keeps tight relationship between the sensors and the processor.

show abstract

A novel method for extracting saliency of ground target based on the knowledge of target region

Wang¹,

Wei²,

Zhang³

2014

2014 International Conference on Mechatronics and Control (ICMC)

View full text Add to dashboard Cite

The Configurable Digital Cellular Neural - Hopfield Network

Cited by 3 publications

References 3 publications

The Configurable Digital Neural Network with Emulated Digital Cellular Neural Network Cores

The Configurable Digital Neural Network with Emulated Digital Cellular Neural Network Cores

A Programmable Digital Cellular Neural Network Processing On- and Off-Chip Sensory Information

A novel method for extracting saliency of ground target based on the knowledge of target region

Contact Info

Product

Resources

About