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检索条件"主题词=Backpropagation Algorithms"
1892 条 记 录,以下是191-200 订阅
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Lattice-based optimization of sequence classification criteria for neural-network acoustic modeling
Lattice-based optimization of sequence classification criter...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Brian Kingsbury IBM Thomas J. Watson Research Center Yorktown Heights NY USA
Acoustic models used in hidden Markov model/neural-network (HMM/NN) speech recognition systems are usually trained with a frame-based cross-entropy error criterion. In contrast, Gaussian mixture HMM systems are discri... 详细信息
来源: 评论
Dynamic system identification using recurrent neural network with multi-valued connection weight
Dynamic system identification using recurrent neural network...
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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
作者: Arit Thammano Phongthep Ruxpakawong Faculty of Information Technology King Mongkut''s Institute of Technology Ladkrabang Bangkok Thailand
This paper introduces a new concept of the connection weight to the standard recurrent neural networks - Elman and Jordan networks. The architecture of the modified networks is the same as that of the original recurre... 详细信息
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Evolving Product Unit Neural Networks with Particle Swarm Optimization
Evolving Product Unit Neural Networks with Particle Swarm Op...
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International Conference on Image and Graphics (ICIG)
作者: Rong Huang Shurong Tong School of Management Northwestern Polytechnical University Xi'an China
Product unit neural network (PUNN) training is formulated as an optimization problem and then particle swarm optimization (PSO), an emerging evolutionary computation algorithm, is employed to resolve it. A simple and ... 详细信息
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Modeling of intelligent calculations in cubic network of workstations
Modeling of intelligent calculations in cubic network of wor...
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International Symposium on Applied Machine Intelligence and Informatics (SAMI)
作者: N. Adam L. Vokorokos B. Mados Technical university of Kosice Slovakia
Article describes model of computation with feedforward multilayer neural network implemented in the network of workstations with cubic topology. Presented computation model is based on parallel error backpropagation ... 详细信息
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Effect of refractoriness on learning performance of a pattern sequence
Effect of refractoriness on learning performance of a patter...
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International Joint Conference on Neural Networks (IJCNN)
作者: Susumu Nagatoishi Osamu Araki
The primary purpose of this study is to reveal the effects of refractoriness on learning performance. We simulated that Elman network, which consists of chaotic neurons, learns a pattern sequence using the back-propag... 详细信息
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Improving rule extraction from neural networks by modifying hidden layer representations
Improving rule extraction from neural networks by modifying ...
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International Joint Conference on Neural Networks (IJCNN)
作者: Thuan Q. Huynh James A. Reggia Department of Computer Science University of Maryland College Park MD USA
This paper describes a new method for extracting symbolic rules from multilayer feedforward neural networks. Our approach is to encourage backpropagation to learn a sparser representation at the hidden layer and to us... 详细信息
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Neuro-computing Method for Data Mining
Neuro-computing Method for Data Mining
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International Conference on Artificial Intelligence and Computational Intelligence (AICI)
作者: Jui-Yu Wu Chi-Jie Lu Department of Business Administration Lunghwa University of Science and Technology Taoyuan Taiwan Department of Industrial Engineering and Management Ching Yun University of Technology JungLi Taiwan
Among the advantages of the cerebellar model articulation controller neural network (CMAC NN) include very fast learning, reasonable generalization capability and robust noise resistance, explaining why CMAC NNs are c... 详细信息
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Researching about Short-Term Power Load Forecasting Based on Improved BP ANN Algorithm
Researching about Short-Term Power Load Forecasting Based on...
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International Conference on Information Science and Engineering (ICISE)
作者: Yabin Xu Peng Du Inst. of Comput. Beijing Inf. Sci. & Technol. Univ. Beijing China Electron. & Inf. Eng. Inst. Liaoning Ind. Univ. Jinzhou China
First, the forecasting principle and improved algorithms about BP ANN are briefly introduced. Then, an improved algorithm about BP ANN is put forward which based on subordinating degree function, and conduct simulatin... 详细信息
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Application of Artificial Neural Network to Predict Short-Term Capital Flow
Application of Artificial Neural Network to Predict Short-Te...
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International Conference on Research Challenges in Computer Science (ICRCCS)
作者: Xiping Wang Department of Economy and Management North China Electric Power University Baoding China
The last decade witnessed a significant increase in net private capital inflows in China. Some of them are short-term capital flows, which are typically considered to be highly volatile. For effectively forecasting th... 详细信息
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Introducing a training methodology for cellular neural networks solving partial differential equations
Introducing a training methodology for cellular neural netwo...
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International Joint Conference on Neural Networks (IJCNN)
作者: M. J. Aein H.A. Talebi Amirkabir University of Technology슠 Tehran Iran Department of Electrical Engineering Amirkabir University of Technology슠 Tehran Iran
This paper presents an online learning scheme to train a cellular neural network (CNN) which can be used to model multidimensional systems whose dynamics are governed by partial differential equations (PDE). Most of t... 详细信息
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