发布求助
文献互助 智能选刊 最新文献

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications最新文献

筛选
英文 中文
CNN based central pattern generators with sensory feedback 带有感官反馈的基于CNN的中枢模式生成器
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035061
P. Arena, L. Fortuna, M. Frasca, L. Patané
{"title":"CNN based central pattern generators with sensory feedback","authors":"P. Arena, L. Fortuna, M. Frasca, L. Patané","doi":"10.1109/CNNA.2002.1035061","DOIUrl":"https://doi.org/10.1109/CNNA.2002.1035061","url":null,"abstract":"In this paper the topic of including feedback from sensors in the central pattern generator (CPG) for a hexapod robot realized through cellular neural networks (CNNs) is addressed. An approach based on local bifurcation of the CNN cells constituting the sub-units of the CPG network is introduced, allowing control of the direction of the robot. Suitable control can be realized by changing the value of the bias of the CNN cells. Moreover, inspired by the idea of Braitenberg creatures, purely reactive control of the hexapod direction is illustrated with an example of a robot able to avoid obstacles.","PeriodicalId":387716,"journal":{"name":"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129797525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Novel methods and results in training universal multi-nested neurons 通用多嵌套神经元训练的新方法和结果
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035101
R. Dogaru, F. Ionescu, P. Julián, M. Glesner
{"title":"Novel methods and results in training universal multi-nested neurons","authors":"R. Dogaru, F. Ionescu, P. Julián, M. Glesner","doi":"10.1109/CNNA.2002.1035101","DOIUrl":"https://doi.org/10.1109/CNNA.2002.1035101","url":null,"abstract":"This paper presents state of the art methods for training compact universal CNN cells (or neurons) to represent arbitrary local Boolean functions. The design tools are analyzed and optimized such that they are capable to provide fast solutions for cells with more than 4 inputs. In particular, it is proved statistically that any arbitrary Boolean function with n=5 inputs (corresponding to a von Neumann CNN neighborhood) admits multinested cell realizations thus confirming a conjecture that was previously proven only for n<5. Several hints are also provided regarding the choice and the influence of various parameters of the design algorithms on the quality of the solution and the speed of finding it.","PeriodicalId":387716,"journal":{"name":"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116551435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
On the RTD implementation of simplicial cellular nonlinear networks 简单元胞非线性网络的RTD实现
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035046
P. Julián, R. Dogaru, M. Itoh, L. Chua
{"title":"On the RTD implementation of simplicial cellular nonlinear networks","authors":"P. Julián, R. Dogaru, M. Itoh, L. Chua","doi":"10.1109/CNNA.2002.1035046","DOIUrl":"https://doi.org/10.1109/CNNA.2002.1035046","url":null,"abstract":"Concerns a novel structure called the simplicial CNN, which permits one to implement any Boolean/Gray-level function of any number of variables. This paper is devoted to explore novel circuit architectures for the implementation of the simplicial CNN based on resonant tunneling diodes (RTD). The final objective is to implement a fully programmable CNN in a hardware platform based on nanoelectronic devices.","PeriodicalId":387716,"journal":{"name":"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128118252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Statistical error modeling of CNN-UM architectures: the binary case CNN-UM架构的统计误差建模:二进制情况
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035085
P. Foldesy
{"title":"Statistical error modeling of CNN-UM architectures: the binary case","authors":"P. Foldesy","doi":"10.1109/CNNA.2002.1035085","DOIUrl":"https://doi.org/10.1109/CNNA.2002.1035085","url":null,"abstract":"In this paper a detailed error model is analyzed of the CNN-UM in a general statistical manner. The locally regular template class is considered and the possibility of erroneous output is expressed from the component nonlinearity and parameter deviation.","PeriodicalId":387716,"journal":{"name":"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114651152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Emergence of global patterns in connected neural networks 互联神经网络中全局模式的出现
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035042
T. Shimizu
{"title":"Emergence of global patterns in connected neural networks","authors":"T. Shimizu","doi":"10.1109/CNNA.2002.1035042","DOIUrl":"https://doi.org/10.1109/CNNA.2002.1035042","url":null,"abstract":"The emergence of patterns in a global network, which consists of many connected local networks, is studied. In each local network one of some patterns is stored, which is selected autonomously by the system itself. It is found that global patterns appear in the global system, which are described in terms of 2 patterns stored in local networks as the background and the pattern itself. The relation between dynamics of the local network and the emergence of global patterns in the global network is discussed.","PeriodicalId":387716,"journal":{"name":"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116707893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On the design method of cellular neural networks for associative memories based on generalized eigenvalue problem 基于广义特征值问题的联想记忆细胞神经网络设计方法
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035090
R. Bise, N. Takahashi, T. Nishi
{"title":"On the design method of cellular neural networks for associative memories based on generalized eigenvalue problem","authors":"R. Bise, N. Takahashi, T. Nishi","doi":"10.1109/CNNA.2002.1035090","DOIUrl":"https://doi.org/10.1109/CNNA.2002.1035090","url":null,"abstract":"This paper presents a design technique which is used to realize associative memories via cellular neural networks. The proposed method can store every prototype vector as a memory vector and maximize the areas of basin of attraction of memory vectors in a certain sense. The network parameters are obtained by solving optimization problems known as generalized eigenvalue problems. Simulation results prove that our method is better than the existing ones.","PeriodicalId":387716,"journal":{"name":"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129829724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Teaching CNN and learning by using CNN 教CNN，用CNN学
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035100
P. Arena, A. Basile, M. Bucolo, L. Fortuna
{"title":"Teaching CNN and learning by using CNN","authors":"P. Arena, A. Basile, M. Bucolo, L. Fortuna","doi":"10.1109/CNNA.2002.1035100","DOIUrl":"https://doi.org/10.1109/CNNA.2002.1035100","url":null,"abstract":"In this communication we remark our experience in teaching CNN technologies at the Universita degli Studi di Catania in the course of Adaptive Systems. The main result regards the possibility of using the CNN subject to introduce further topics in circuits and dynamical systems. The students reached high level skills in the related field. Moreover they have developed personalized simulation tools that used to make more experiments confirming that CNN are really the real paradigm for complexity.","PeriodicalId":387716,"journal":{"name":"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130902622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Object-oriented image analysis via analogic CNN algorithms. I. Motion estimation 基于类比CNN算法的面向对象图像分析。1 .运动估计
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035050
G. Grassi, L.A. Grieco
{"title":"Object-oriented image analysis via analogic CNN algorithms. I. Motion estimation","authors":"G. Grassi, L.A. Grieco","doi":"10.1109/CNNA.2002.1035050","DOIUrl":"https://doi.org/10.1109/CNNA.2002.1035050","url":null,"abstract":"Image analysis algorithms are of great interest in the context of object-oriented coding schemes. In this paper a new analogic CNN algorithm for obtaining the motion estimation is illustrated, whereas the companion paper (Grassi and Grieco, 2002) focuses on the remaining steps of the object-oriented image analysis stage. Simulation results, carried out for Miss America and Claire video sequences, confirm the validity of the approach developed herein.","PeriodicalId":387716,"journal":{"name":"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122145095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
CNN-based 3D thermal modeling of the soil for antipersonnel mine detection 基于cnn的土壤三维热模拟用于杀伤人员地雷探测
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035065
P. López, D. L. Vilariño, D. Cabello
{"title":"CNN-based 3D thermal modeling of the soil for antipersonnel mine detection","authors":"P. López, D. L. Vilariño, D. Cabello","doi":"10.1109/CNNA.2002.1035065","DOIUrl":"https://doi.org/10.1109/CNNA.2002.1035065","url":null,"abstract":"The inherent analogies between the defining equation of CNN and that of heat transfer are well known. In this paper, we explore the projection of a 3D thermal model of the soil on this kind of structure. In so doing, reliable and fast prediction of the thermodynamic behavior of soil subject to known boundary conditions can be obtained. That way, it is possible to characterize different kinds of soil in terms of its thermal signature. Based on that knowledge, and using an inverse approach, we perform the detection of buried land mines.","PeriodicalId":387716,"journal":{"name":"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122391103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 16
Image processing library for the Aladdin Visual Computer 阿拉丁视觉计算机的图像处理库
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI: 10.1109/CNNA.2002.1035096
I. Szatmári, P. Foldesy, C. Rekeczky, Á. Zarándy
{"title":"Image processing library for the Aladdin Visual Computer","authors":"I. Szatmári, P. Foldesy, C. Rekeczky, Á. Zarándy","doi":"10.1109/CNNA.2002.1035096","DOIUrl":"https://doi.org/10.1109/CNNA.2002.1035096","url":null,"abstract":"Image Processing Library was designed and is currently under construction for the Aladdin Visual Computer. The library reduces algorithm development time, provides efficient codes, error free operation in binary, and accurate operation in grayscale cases. It is expected that the library will help to spread the use of the CNN technology both in academic fields and in industry.","PeriodicalId":387716,"journal":{"name":"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126204963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信