发布求助
文献互助 智能选刊 最新文献

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks最新文献

筛选
英文 中文
Bidirectional optical learnable neural networks for OEIC 面向OEIC的双向光学可学习神经网络
[Proceedings] 1991 IEEE International Joint Conference on Neural Networks Pub Date : 1991-11-18 DOI: 10.1109/IJCNN.1991.170667
W. Kawakami, K. Kitayama
{"title":"Bidirectional optical learnable neural networks for OEIC","authors":"W. Kawakami, K. Kitayama","doi":"10.1109/IJCNN.1991.170667","DOIUrl":"https://doi.org/10.1109/IJCNN.1991.170667","url":null,"abstract":"A novel configuration of an optical bidirectional learnable neural network is proposed, in which the recall and learning processes can be done by transmitting lights of synaptic weight and error signal, respectively, in the opposite direction between two facing OEICs (optoelectronic integrated circuits). Thus, both vector-matrix operation for recall and outer-product for modifying synaptic weights are optically performed bidirectionally. This compact configuration is especially suitable for neurochips. The feasibility of a three-dimensional neurochip is experimentally investigated based on a learning experiment using a 2*2 optical neuro-breadboard.<<ETX>>","PeriodicalId":211135,"journal":{"name":"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115717899","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
A cognitively-based neural network for determining paragraph coherence 基于认知的段落连贯判断神经网络
[Proceedings] 1991 IEEE International Joint Conference on Neural Networks Pub Date : 1991-11-18 DOI: 10.1109/IJCNN.1991.170577
P. Carlson, A. The
{"title":"A cognitively-based neural network for determining paragraph coherence","authors":"P. Carlson, A. The","doi":"10.1109/IJCNN.1991.170577","DOIUrl":"https://doi.org/10.1109/IJCNN.1991.170577","url":null,"abstract":"The authors report on an effort in artificial neural network (ANN) technology to use content-independent elements of prose as predictors of paragraph logic structures. They intend to embed the trained network in an intelligent tutor to teach writing skills. An attempt is made to find patterns in the nonambiguous lexical and syntactic features if discourse that predict the semantic/cognitive level of interpretation. An NN implementation of the modified Christensen method is considered. It is noted that ANN technology's ability to deal with fuzzy logic, feature extraction, classification, and predictive modeling makes a neural network the best choice for the present application.<<ETX>>","PeriodicalId":211135,"journal":{"name":"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks","volume":"120 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115839688","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
Optimum frequencies selection for radar target classification by neural network 基于神经网络的雷达目标分类频率优选
[Proceedings] 1991 IEEE International Joint Conference on Neural Networks Pub Date : 1991-11-18 DOI: 10.1109/IJCNN.1991.170566
Jungang Xu, Zhong Wang, Youan Ke
{"title":"Optimum frequencies selection for radar target classification by neural network","authors":"Jungang Xu, Zhong Wang, Youan Ke","doi":"10.1109/IJCNN.1991.170566","DOIUrl":"https://doi.org/10.1109/IJCNN.1991.170566","url":null,"abstract":"A simple method for selecting the optimum frequencies for radar target classification using a backpropagation neural network (BNN) is presented. Results indicate that the BNN can be used not only for identifying radar targets in the frequency domain, but also for determining the optimum frequencies as an additive result in the learning process of the BNN. This method is based on the sensitivity analysis of the input nodes of the BNN. The frequencies corresponding to the input nodes which have maximum sensitivities are selected as the optimum frequencies. This method was verified on five simple radar targets.<<ETX>>","PeriodicalId":211135,"journal":{"name":"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124154891","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
Microcanonical mean field annealing: a new algorithm for increasing the convergence speed of mean field annealing 微正则平均场退火:一种提高平均场退火收敛速度的新算法
[Proceedings] 1991 IEEE International Joint Conference on Neural Networks Pub Date : 1991-11-18 DOI: 10.1109/IJCNN.1991.170521
N. Lee, A. Louri
{"title":"Microcanonical mean field annealing: a new algorithm for increasing the convergence speed of mean field annealing","authors":"N. Lee, A. Louri","doi":"10.1109/IJCNN.1991.170521","DOIUrl":"https://doi.org/10.1109/IJCNN.1991.170521","url":null,"abstract":"The authors consider the convergence speed of mean field annealing (MFA). They combine MFA with the microcanonical simulation (MCS) method and propose an algorithm called microcanonical mean field annealing (MCMFA). In the proposed algorithm, cooling speed is controlled by current temperature so that computation in the MFA can be reduced without degradation of performance. In addition, the solution quality of MCMFA is not affected by the initial temperature. The properties of MCMFA are analyzed with a simple example and simulated with Hopfield neural networks. In order to compare MCMFA with MFA, both algorithms are applied to graph bipartitioning problems. Simulation results show that MCMFA produces a better solution than MFA.<<ETX>>","PeriodicalId":211135,"journal":{"name":"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124192317","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: 3
Inverse modeling of dynamical system-network architecture with identification network and adaptation network 基于辨识网络和自适应网络的动态系统网络体系结构逆建模
[Proceedings] 1991 IEEE International Joint Conference on Neural Networks Pub Date : 1991-11-18 DOI: 10.1109/IJCNN.1991.170460
T. Kimoto, Y. Yaginuma, S. Nagata, K. Asakawa
{"title":"Inverse modeling of dynamical system-network architecture with identification network and adaptation network","authors":"T. Kimoto, Y. Yaginuma, S. Nagata, K. Asakawa","doi":"10.1109/IJCNN.1991.170460","DOIUrl":"https://doi.org/10.1109/IJCNN.1991.170460","url":null,"abstract":"The authors describe a neural network architecture enabling inverse modeling of a nonlinear dynamical system. It consists of two neural networks, a system identification network and an adaptation network. The effectiveness of the proposed network architecture is examined by applying it to a digital mobile communication adaptive equalizer. In digital mobile communication, the problem of multipath fading caused by vehicular movement becomes a nonlinear dynamical system. The proposed network architecture is able to obtain an inverse model of such transmission channels and attain equalization of signal distortions. The performance of the proposed adaptive equalizer was evaluated by computer simulation. The bit error rate was found to decrease by one-third compared to that without an equalizer.<<ETX>>","PeriodicalId":211135,"journal":{"name":"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124535182","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
A solid-state electronic linear adaptive neuron with electrically alterable synapses 具有电可变突触的固态电子线性自适应神经元
[Proceedings] 1991 IEEE International Joint Conference on Neural Networks Pub Date : 1991-11-18 DOI: 10.1109/IJCNN.1991.170616
C.-Y.M. Chen, M. White, M. French
{"title":"A solid-state electronic linear adaptive neuron with electrically alterable synapses","authors":"C.-Y.M. Chen, M. White, M. French","doi":"10.1109/IJCNN.1991.170616","DOIUrl":"https://doi.org/10.1109/IJCNN.1991.170616","url":null,"abstract":"The authors address the hardware implementation of a semiconductor device which emulates the biological synaptic interconnection for the hardware realization of neural network systems. Specifically, they describe work on the electrically reprogrammable (alterable) SONOS (silicon blocking oxide nitride tunneling oxide silicon) nonvolatile synapse and a simple electronic neuron which incorporates these alterable synapses. The electronic synaptic interconnection strength, or the weight value, can be electrically altered at CMOS voltage levels. The authors have incorporated these modifiable synaptic weights into a solid-state electronic linear adaptive neuron with a Widrow-Hoff's delta learning rule as the updating algorithm to examine the electrical performance of these programmable synapses. The experimental results and the desirable features of these electronic synapses are discussed.<<ETX>>","PeriodicalId":211135,"journal":{"name":"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114757611","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
Experiments with ordering attributes for efficient connectionist system development 使用排序属性进行高效连接系统开发的实验
[Proceedings] 1991 IEEE International Joint Conference on Neural Networks Pub Date : 1991-11-18 DOI: 10.1109/IJCNN.1991.170317
H. Ferrá, A. Kowalczyk, A. Jennings
{"title":"Experiments with ordering attributes for efficient connectionist system development","authors":"H. Ferrá, A. Kowalczyk, A. Jennings","doi":"10.1109/IJCNN.1991.170317","DOIUrl":"https://doi.org/10.1109/IJCNN.1991.170317","url":null,"abstract":"The authors introduce an algorithm for selection and ordering of input attributes based on a generalization to a fuzzy case of the notion of conditional entropy. The algorithm is relatively computationally inexpensive and efficient, as was demonstrated in a number of experiments that are reported. The experimental results support the observation that preselection and ordering of a small number of effective input features constitute an important factor in the development of efficient neural network classifiers.<<ETX>>","PeriodicalId":211135,"journal":{"name":"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116887032","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
A car detection system using the neocognitron 一种使用neocognitron的汽车检测系统
[Proceedings] 1991 IEEE International Joint Conference on Neural Networks Pub Date : 1991-11-18 DOI: 10.1109/IJCNN.1991.170561
S. Yamaguchi, H. Itakura
{"title":"A car detection system using the neocognitron","authors":"S. Yamaguchi, H. Itakura","doi":"10.1109/IJCNN.1991.170561","DOIUrl":"https://doi.org/10.1109/IJCNN.1991.170561","url":null,"abstract":"A car image detection system using the neocognitron is described. The system can recognize car images successfully without regard to influences of the differences of kinds of cars and shifts in position. The number of cell planes can be reduced by actively introducing features of patterns to be recognized by the neocognitron. The neocognitron uses vertical and horizontal lines and combinations as training patterns. The increase of the number of cell planes can thus be held down. Although car images are not directly used in the training process except in the output layer, the system can detect cars skilfully. Thus, using appropriate features of input patterns, the neocognitron obtains sufficient recognition capability.<<ETX>>","PeriodicalId":211135,"journal":{"name":"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116190144","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: 5
A general purpose neurocomputer 通用神经计算机
[Proceedings] 1991 IEEE International Joint Conference on Neural Networks Pub Date : 1991-11-18 DOI: 10.1109/IJCNN.1991.170428
F. B. Verona, P. De Pinto, F. Lauria, M. Sette
{"title":"A general purpose neurocomputer","authors":"F. B. Verona, P. De Pinto, F. Lauria, M. Sette","doi":"10.1109/IJCNN.1991.170428","DOIUrl":"https://doi.org/10.1109/IJCNN.1991.170428","url":null,"abstract":"Presents a neural network, composed of linear units with threshold, as the CPU of a stored program MIMD architecture. The Caianiello formalism, is introduced as an aid to implement the arithmetic and control algorithms, needed for the smooth running of this general-purpose system. That is, in the neural net both the arithmetic and logic algorithms and the operating system have been implemented. The latter is diffuse as it has been co-implemented with the single arithmetic operations. It controls each operation I/O, the input, output and intermediate data buffers, the clerical work associated to the beginning and the end of a task execution, etc. The neural net control is data-driven, i.e. the incoming data are the very signals telling the net to execute its task. As the net is data-driven, the system supports an efficient run time resource allocation algorithm. That is, at run time the incoming instructions chase the available resources and the waiting time, spent by the data in presence of idle resources, is minimized. At the same time, the system pipelines, automatically, nested loops, of arbitrary depth, and accepts unlimited recursive calls of routines.<<ETX>>","PeriodicalId":211135,"journal":{"name":"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116385587","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: 3
Information representation analysis in a neural network 神经网络中的信息表示分析
[Proceedings] 1991 IEEE International Joint Conference on Neural Networks Pub Date : 1991-11-18 DOI: 10.1109/IJCNN.1991.170721
J. Figueroa-Nazuno, G. Perez-Elizalde, E. Vargas-Medina, M. G. Raggi-Gonzalez
{"title":"Information representation analysis in a neural network","authors":"J. Figueroa-Nazuno, G. Perez-Elizalde, E. Vargas-Medina, M. G. Raggi-Gonzalez","doi":"10.1109/IJCNN.1991.170721","DOIUrl":"https://doi.org/10.1109/IJCNN.1991.170721","url":null,"abstract":"The authors study the mathematical behavior of the hidden layer of a generalized delta rule type neural network (GDR) by analyzing the weights and thresholds in the network, when it learned and didn't learn, in a typical situation in neurocomputation. The GDR was used in a C language program. There are three representation hypotheses: (a) the local, which states that information encoding takes place in local parts of the network; (b) the generalized, which states that information is located in extended areas in the network; and (c) the global, which states that total behavior represents the information in the networks. Several intensive computations were carried out to analyze the neural network internal behavior in situations where it did and didn't learn. The information shows clearly that representation as a global behavior in the hidden layer is responsible for learning, and not local behavior situations.<<ETX>>","PeriodicalId":211135,"journal":{"name":"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks","volume":"603 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123231588","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
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