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检索条件"主题词=BackPropagation Algorithm"
286 条 记 录,以下是201-210 订阅
排序:
A self-constructing compensatory neural fuzzy system and its applications
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MATHEMATICAL AND COMPUTER MODELLING 2005年 第3-4期42卷 339-351页
作者: Lin, CJ Chen, CH Chaoyang Univ Technol Dept Comp Sci & Informat Engn Taichung 41349 Taiwan
A self-constructing compensatory neural fuzzy system (SCCNFS) for nonlinear system identification and control is proposed in this paper. The compensatory fuzzy reasoning method uses adaptive fuzzy operations of a neur... 详细信息
来源: 评论
Nonlinear complex-valued extensions of Hebbian learning: An essay
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NEURAL COMPUTATION 2005年 第4期17卷 779-838页
作者: Fiori, S Univ Perugia Fac Ingn Polo Sci & Didatt Ternano I-05100 Terni Italy
The Hebbian paradigm is perhaps the best-known unsupervised learning theory in connectionism. It has inspired wide research activity in the artificial neural network field because it embodies some interesting properti... 详细信息
来源: 评论
A neural network based model for prognosis of early breast cancer
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APPLIED INTELLIGENCE 2004年 第3期20卷 231-238页
作者: Gómez-Ruiz, JA Jerez-Aragonés, JM Muñoz-Pérez, J Alba-Conejo, E Univ Malaga Dept Lenguajes & Ciencias Computac E-29071 Malaga Spain Hosp Clin Univ Malaga Oncol Serv E-29071 Malaga Spain
The prediction of clinical outcome of patients after breast cancer surgery plays an important role in medical tasks such as diagnosis and treatment planning. Survival estimations are currently performed by clinicians ... 详细信息
来源: 评论
Improving performance in pulse radar detection using Bayesian regularization for neural network training
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DIGITAL SIGNAL PROCESSING 2004年 第5期14卷 438-448页
作者: Kumar, P Merchant, SN Desai, UB Indian Inst Technol Dept Elect Engn Bombay 400076 Maharashtra India Indian Inst Technol Dept Elect & Commun Engn Gauhati 781039 India
A better approach for training a multi-layered feedforward network for pulse compression is presented. The Bayesian regularization technique used for training the network for pulse radar detection results in superior ... 详细信息
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Automatic recognition of sleep spindles in EEG by using artificial neural networks
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EXPERT SYSTEMS WITH APPLICATIONS 2004年 第3期27卷 451-458页
作者: Acir, N Güzelis, C Dokuz Eylul Univ Dept Elect & Elect Engn TR-35160 Izmir Turkey
In this paper, we introduce a two-stage procedure based on artificial neural networks for the automatic recognition of sleep spindles (SSs) in a multi-channel electroencephalographic signal. In the first stage, a disc... 详细信息
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Water quality assessment using diatom assemblages and advanced modelling techniques
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FRESHWATER BIOLOGY 2004年 第2期49卷 208-220页
作者: Gevrey, M Rimet, F Park, YS Giraudel, JL Ector, L Lek, S Univ Toulouse 3 LADYBIO CNRS UMR F-31062 Toulouse France CREBS Ctr Rech Publ Gabriel Lippmann Luxembourg Luxembourg
1. Two types of artificial neural networks procedures were used to define and predict diatom assemblage structures in Luxembourg streams using environmental data. 2. Self-organising maps (SOM) were used to classify sa... 详细信息
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A complex-valued RTRL algorithm for recurrent neural networks
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NEURAL COMPUTATION 2004年 第12期16卷 2699-2713页
作者: Goh, SL Mandic, DP Univ London Imperial Coll Sci Technol & Med Dept Elect & Elect Engn London SW7 2AZ England
A complex-valued real-time recurrent learning (CRTRL) algorithm for the class of nonlinear adaptive filters realized as fully connected recurrent neural networks is introduced. The proposed CRTRL is derived for a gene... 详细信息
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A novel learning algorithm for feedforward networks using lyapunov function approach
A novel learning algorithm for feedforward networks using ly...
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International Conference on Intelligent Sensing and Information Processing
作者: Behera, L Kumar, S Patnaik, A Indian Inst Technol Dept Elect Engn Kanpur 208016 Uttar Pradesh India
This paper investigates a new learning algorithm (LF I) based on Lyapunov function for the training of feedforward neural networks. The proposed algorithm has an interesting parallel with the popular back-propagation ... 详细信息
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Training quasi-ARX neural network model by homotopy approach
Training quasi-ARX neural network model by homotopy approach
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SICE 2004 Annual Conference
作者: Hu, JL Lu, XB Hirasawa, K Waseda Univ Grad Sch Informat Prod & Syst Wakamatsu Ku Fukuoka 8080135 Japan
Quasi-ARX neural networks (NN) are NN based nonlinear models that not only have linear structures similar to linear ARX models, but also have useful interpretation in part of their parameters. However when applying an... 详细信息
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Multilayer neural networks in handwritten recognition
Multilayer neural networks in handwritten recognition
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International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET 2004)
作者: Ciota, Z Gawinowski, M Tech Univ Lodz Dept Microelect & Comp Sci PL-90924 Lodz Poland
Multilayer neural network presented in this paper can be helpful for recognition of handwritten words. Learning efficiency of such network has been also presented. For high learning efficiency a standard backpropagati... 详细信息
来源: 评论