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检索条件"主题词=Backpropagation Algorithms"
1893 条 记 录,以下是1321-1330 订阅
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An update function that speeds up backpropagation learning
An update function that speeds up backpropagation learning
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International Joint Conference on Neural Networks (IJCNN)
作者: W. El Deredy N.M. Branston Department of Neurological Surgery Institute of Neurology London UK
We consider a modification of the backpropagation (BP) learning algorithm in which a linear function, directly proportional to the deviation between target values and actual values at the output, is propagated backwar... 详细信息
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Reducing the number of multiplies in backpropagation
Reducing the number of multiplies in backpropagation
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International Joint Conference on Neural Networks (IJCNN)
作者: K. Boonyanit A.M. Peterson LSI Logic Corporation Milpitas CA USA STAR Lab Department of Electrical Engineering University of Stanford Stanford CA USA
There have been many algorithms to speed up the learning time of backpropagation. However, most of them do not take into consideration the amount of hardware required to implement the algorithm. Without suitable hardw... 详细信息
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Hardware implementation of the backpropagation without multiplication
Hardware implementation of the backpropagation without multi...
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Proceedings of the International Conference on Microelectronics for Neural Networks and Fuzzy Systems
作者: J. Cloutier P.Y. Simard Département d'Iformatique et de Recherche Opérationnelle Université Montreal Montreal Canada AT and T Bell Laboratories Inc. Holmdel NJ USA
The backpropagation algorithm has been modified to work without any multiplications and to tolerate computations with a low resolution, which makes it more attractive for a hardware implementation. Numbers are represe... 详细信息
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The application of backpropagation neural networks to predict the results of combat
The application of backpropagation neural networks to predic...
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IEEE International Conference on Engineering Management (EMC)
作者: D.A. Jacobs W.O. Hedgepeth Old Dominion University USA U.S. Army Training and Doctrine Command USA
The information age changes how US Army decision makers predict future trends. The Army is responding with innovative technology to help it's planners to understand the complexities of its decisions, and their imp... 详细信息
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RRANN: a hardware implementation of the backpropagation algorithm using reconfigurable FPGAs
RRANN: a hardware implementation of the backpropagation algo...
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International Joint Conference on Neural Networks (IJCNN)
作者: J.G. Eldredge B.L. Hutchings Department of Electrical and Computer Engineering Brigham Young University Provo UT USA
Field programmable gate arrays (FPGAs) are an excellent technology for implementing neural networking hardware. This paper presents the run-time reconfiguration artificial neural network (RRANN). RRANN is a hardware i... 详细信息
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A weight value initialization method for improving learning performance of the backpropagation algorithm in neural networks
A weight value initialization method for improving learning ...
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International Conference on Tools for Artificial Intelligence (ICTAI)
作者: H. Shimodaira Nihon MECCS Co. Ltd. Tokyo Japan
In this paper, we propose a new method (the OIVS method) for initializing weight values, which is based on the equations representing the characteristics of the information transformation mechanism of a node. Numerica... 详细信息
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A note on backpropagation, projection learning, and feedback in neural systems
A note on backpropagation, projection learning, and feedback...
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International Joint Conference on Neural Networks (IJCNN)
作者: K. Weigl I.N.R.I.A. Sophia Antipolis Sophia-Antipolis France
We show instances where parts of algorithms similar to backpropagation respectively projection learning algorithms have been implemented via feedback in neural systems. The corresponding algorithms, with the same or a... 详细信息
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Optimal distribution of patterns in a heterogeneous array of transputers for backpropagation networks
Optimal distribution of patterns in a heterogeneous array of...
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International Joint Conference on Neural Networks (IJCNN)
作者: Foo Shou King P. Saratchandran N. Sundararajan School of Electrical and Electronic Engineering Nanyang Technological University Singapore
Training set parallelism and network based parallelism are two popular paradigms for parallelising a feedforward (artificial) neural network. Training set parallelism is particularly suited to feedforward neural netwo... 详细信息
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Choosing among several parallel implementations of the backpropagation algorithm
Choosing among several parallel implementations of the backp...
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International Joint Conference on Neural Networks (IJCNN)
作者: A. Petrowski Départment Informatique Institut National de Télécommunications Evry France
Three parallel implementations of the backpropagation algorithm are studied. The performance for each of these implementations is estimated for three prototypes of neural architectures chosen in such a way that they a... 详细信息
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A modified backpropagation algorithm
A modified backpropagation algorithm
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International Joint Conference on Neural Networks (IJCNN)
作者: B.K. Verma J.J. Mulawka Politechnika Warszawska Warszawa PL Dept. of Fundamental Electron. Warsaw Univ. of Technol. Poland
A long and uncertain training process is one of the most important problems for a multilayer neural network using the backpropagation algorithm. In this paper, a modified backpropagation algorithm for a certain and fa... 详细信息
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