PCNNP:: A Pulse-Coupled Neural Network processor

被引：3

作者：

Chacón, MI ^{[1
]}

Zimmerman, A ^{[1
]}

Sanchez, D ^{[1
]}

机构：

[1] Chihuahua Inst Technol, DSP&Vis Lab, Chihuahua 31310, Mexico

来源：

PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 | 2002年

关键词：

D O I：

10.1109/IJCNN.2002.1007753

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Pulse-Coupled Neural Networks, PCNN, have arisen as an alternative for image preprocessing. However, the PCNN model is a member of the Artificial Neural Networks model and hence it inherits the problem of parameter specification. This paper presents a PCNN model that was generated by analysis of other PCNN models and describes what we call a PCNN processor, PCNNP. The PCNNP is a PCNN simulator with a user interface. The PCNN simulated in the PCNNP is a model generated from other PCNN models analysis. The PCNNP allows the user to analyze the behavior of the net by changing the linking and feeding kernels and the parameters of the neuron. The interface also incorporates different visualization tools to facilitate the analysis of the information generated by the net. The visualization modes have proved to be helpful to understand the internal activity of the PCNN and how this activity is modified by the parameters of the PCNN.

引用

页码：1581 / 1584

页数：4

共 11 条

[1] FRACTIONAL-POWER SYNTHETIC DISCRIMINANT FUNCTIONS [J].

BRASHER, JD ;

KINSER, JM .

PATTERN RECOGNITION, 1994, 27 (04) :577-585

[2]

ECKHORN R, 1998, NEURONAL NETWORK FEA, P255

[3]

ECKHORN R, 1989, P ICNN, V1, P723

[4] PULSE-COUPLED NEURAL NETS - TRANSLATION, ROTATION, SCALE, DISTORTION, AND INTENSITY SIGNAL INVARIANCE FOR IMAGES [J].

JOHNSON, JL .

APPLIED OPTICS, 1994, 33 (26) :6239-6253

[5]

JOHNSON JL, 1999, IEEE T NEURONAL NETW, V10

[6]

KELLER P, 1999, P SPIE APPL SCI COMP, V2, P444

[7] Perfect image segmentation using pulse coupled neural networks [J].

Kuntimad, G ;

Ranganath, HS .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 1999, 10 (03) :591-598

[8]

LINDBLAND T, 1998, COUPLED NEURAL N SPR

[9]

RANGANATH HS, 1994, 1994 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOL 1-7, P1285, DOI 10.1109/ICNN.1994.374369

[10]

RANGANATH HS, 1999, IEEE T NEUROANAL NET, V10

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