The Software Implementation of Neural Network Fuzzy Inference Cooperation System     

Zou Xiaoji  Zang Anbang  ZouJiaqi 《保鲜与加工》1996,(4):26-30

This poper sets up a new Neural Network Fuzzy inference Cooperation system which is based on fuzzy inference principle in Expert Systems,take advantage of the powerful learning function, the little sensitivity to input layer's samples,and the fast convergence and so on in FCBP and take advantage of the good sort property and good suit property to fuzzy value in MFART Network.  相似文献   

The Inherent Fault Tolerance of Multi-Layer Neural Networks     

YangXiaofan  Chen Tinghuai  Wang Xueqin 《保鲜与加工》1995,(3):69-75

The inherent fault tolerance of multilayer neural networks (MLNs) is due to thedistributed properties of information processing and information storage in an MLN , and the inher-ent fault-masking capability of every neuron. Also,the concept of inherent fault tolerance of MLNsis formalized, Finally, perceptrons and three-layer nets are shown inherently fault tolerant underreasonable statistical conditions,respectively.  相似文献   

Application of Wavelet Transform to De-noising Method     

PENG Yan-ni~ 《保鲜与加工》2004,(10):40-43

The wavelet transform is a new subject developed quickly in the past ten years. Compared with the Fourier transform, the wavelet transform is a part of time-frequency transform. The most important character is that it can be used to transform a signal into basic units at different scales and location, each unit represents a component of original signal difference from others. The wavelet transform has been proven to be a powerful and efficient tool for processing signal due to this character. This paper introduces the de-noising principles of the wavelet transform. It is proved to be an effective method by the simulating analysis.  相似文献   

A Medical Image Quantization Method Suited for PACS     

LI Qing hui  PENG Cheng lin  HOU Wen sheng  LUO Xiao gang 《保鲜与加工》2002,(3):78

Image compression is very important in picture archiving and communication system(PACS). The author studied the statistical distribution of image wavelet subimage coefficients and concluded that the distribution of wavelet subimage coefficients is similar to that of Laplasian distribution. On the other hand, in image reconstruction, the coefficient with different amplitude owns different weight, and different accuracy can be applied to different coefficients according to their different weight. Then, the author has designed a image quantization encoding scheme for PACS. In this scheme, they selected the sample-standard-deviation of coefficients in every subimage as the quantization threshold, and accurately encoded those coefficients with higher weight. Also, this algorithm utilized the visual character of human. The test has proved that the main advantages of this method are the simplicity in computing and predictable encoded coefficients, and a high compression efficiency can obtain too.  相似文献   

Automatic Fingerprint Classification by GA-Based Neural Network     

HUANG Xi yue  MA Xiao xiao  SHEN Zhi xi  WANG Peng  ZHOU Xin 《保鲜与加工》2001,(1):74-77

Fingerprint classification can provide an important indexing mechanism in a fingerprint database. An accurate and consistent classification can greatly reduce fingerprint matching time for large database. In the paper, by combining genetic algorithm and neural network is presented a fingerprint classification algorithm which is able to achieve an accurate classification. By inputting the global feature represented by directional image to three layer neural network trained by genetic algorithm, the fingerprints were classified into six categories: whorl, right loop, left loop, arch, double loop and undiscerning type successfully.  相似文献   

Influence of Network Technology on Conventional Real Estate Brokerage     

《保鲜与加工》2003,(3):73-77

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Context Model Based on 3D Wavelet Coefficients     

SUN Xiao-lan 《保鲜与加工》2007,(4):97-101

Based on by typical coding schemes such as EZW,SPIHT, EBCOT,3D-IEZW,3D-SPIHT and 3D-ESCOT,a context model(3D-OWNER) of wavelet coefficients is proposed,which makes use of partial order,self-similarity between subbands of wavelet coefficients and the correlation of neighboring wavelet coefficients.Experimental results show that the model can achieve higher PSNR than 3D-ESCOT.  相似文献   

A Muti-Objective Network Planning Model for Project     

Zen Fanqi Gu Yuasheng Zen Xianglin 《保鲜与加工》1993,(4):136-143

Based on the network planning model developed by the author for an overhaul project of a rolling mill production line in a heavy steel plant, an new multiobjective network planning model is proposed in this paper. The formulations of network time parameters are derived. The optimization problem of multiobjective network planning is also discussed. And it has been found out that the fractional single-objctive network is only one of the cases in this model.  相似文献   

A MULTI -OBJECTIVE FUZZY DECISION -MAKING APPROACH FOR POWER NETWORK PLANNING UNDER UNCERTAINTY     

Sun Hongbo Xu Guoyu Qin Yihong 《保鲜与加工》1992,(4):80-86

This paper proposes a multi - objective fuzzy decision - making approach for power network planning under uncertainty ,which simutaneously considers not only the least investment cost,the minimum power loss,the maximum reliability,and the least environmental impacts, but also the uncertainty about the future load growth and the capital investment availability. The validity and effectiveness of the proposed approach is verified with numerical examples.  相似文献   

The Method of Diagnosing Brain-dysfunction Based on Membership Function and BP Neural Network     

Zeng Xiaoping  Zou Jiaqi  Zang Anbang 《保鲜与加工》1996,(3):44-49

Membership functions.formed with the characteristic values obtained by applying the continuous reaction time (CRT) theory from controls and heptic encephalopthy and proposedin this paper.whith these membership functions,the CRT data to be diagnosed are calculated in advance,and then discriminated by BP meural network to differentiate patients with or without braindysfunction.The troubles of low accuracy and efficiency,encountered in training BP network withfuzzy samples.scattered data and extended samples,are solved.  相似文献