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检索条件"主题词=Backpropagation Algorithms"
1893 条 记 录,以下是331-340 订阅
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backpropagation-decorrelation: online recurrent learning with O(N) complexity
Backpropagation-decorrelation: online recurrent learning wit...
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International Joint Conference on Neural Networks (IJCNN)
作者: J.J. Steil Neuroinformatics Group Faculty of Technology University of Bielefeld Germany
We introduce a new learning rule for fully recurrent neural networks which we call backpropagation-decorrelation rule (BPDC). It combines important principles: one-step backpropagation of errors and the usage of tempo... 详细信息
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A backpropagation learning framework for feedforward neural networks
A backpropagation learning framework for feedforward neural ...
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IEEE International Symposium on Circuits and Systems (ISCAS)
作者: X. Yu M. Onder Efe O. Kaynak Faculty of Informatics and Communication Central Queensland University Rockhampton QLD Australia Department of Electrical and Electronic Engineering Bogazici University Istanbul Turkey
In this paper, a general backpropagation learning framework for the training of feedforward neural networks is proposed. The convergence to global minimum under the framework is investigated using the Lyapunov stabili... 详细信息
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Recognition Pattern of Arca Siwa Prambanan Temple with Canny and backpropagation Algorithm
Recognition Pattern of Arca Siwa Prambanan Temple with Canny...
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International Conference on Information and Communications Technology (ICOIACT)
作者: Arif Fridasari Ema Utami Bachelor of Informatics Universitas Amikom Yogyakarta Yogyakarta Indonesia Magister of Informatics Engineering Universitas Amikom Yogyakarta Yogyakarta Indonesia
The statue temple of recognition pattern used to distinguish the direction the digital image (photos) in order facilitate tourist or user knows the direction of the capture of temple image. In its application used alg... 详细信息
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Neural network with lower and upper type-2 fuzzy weights using the backpropagation learning method
Neural network with lower and upper type-2 fuzzy weights usi...
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Conference of the North American Fuzzy Information Processing Society - NAFIPS
作者: Fernando Gaxiola Patricia Melin Fevrier Valdez Tijuana Institute of Technology Tijuana Mexico
In this paper the lower and upper type-2 fuzzy weight adjustment applied in a neural network performing the learning method is proposed. The mathematical representation of the adaptation of the interval type-2 fuzzy w... 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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Algorithmic enhancements to a backpropagation interior point learning rule
Algorithmic enhancements to a backpropagation interior point...
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International Conference on Neural Networks
作者: Jun Ji G.V. Meghabghab Department of Mathematics and Computer Science Valdosta State University Valdosta GA USA
In this paper, the authors employ a quadratic interior point method to backpropagation neural networks. The new quadratic backpropagation learning rule searches for a direction which minimizes the objective function i... 详细信息
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backpropagation through time for a general class of recurrent network
Backpropagation through time for a general class of recurren...
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International Joint Conference on Neural Networks (IJCNN)
作者: O. De Jeses M.T. Hagan Sch. of Electr. & Comput. Eng. Oklahoma State Univ. Stillwater OK USA School of Electrical and Computer Engineering Oklahoma State University Stillwater OK USA School of Electrical and Computer Engineering Oklahoma State University Stillwater OK
This paper introduces a general class of dynamic network, the layered digital dynamic network. It then derives the backpropagation-through-time algorithm for computing the gradient of the network error with respect to... 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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Incorporation of fuzzy classification properties into backpropagation learning algorithm
Incorporation of fuzzy classification properties into backpr...
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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
作者: M. Sarkar B. Yegnanarayana Department of Computer Science & Engineering Indian Institute of Technology Chennai India
Most of the real life classification problems have ill defined, imprecise or fuzzy class boundaries. Feedforward neural networks with conventional backpropagation learning algorithm are not tailored to these kinds of ... 详细信息
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A parallel mapping of backpropagation algorithm for mesh signal processor
A parallel mapping of backpropagation algorithm for mesh sig...
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IEEE Workshop on Neural Networks for Signal Processing
作者: S.A. Khan V.K. Madisetti Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA
Presents a technique for mapping the backpropagation learning algorithm on a mesh signal processor. The optimal sub-partitioning of computation and communication, and data replication techniques are the key features o... 详细信息
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