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检索条件"主题词=Backpropagation Algorithms"
1892 条 记 录,以下是371-380 订阅
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Recurrent backpropagation networks receiver for modulated signals over noisy channels
Recurrent backpropagation networks receiver for modulated si...
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Mediterranean Electrotechnical Conference (MELECON)
作者: A. Canegalli L. Favalli A. Mecocci R. Pizzi University of Pavia Pavia Italy University of Sienna Siena Italy
Recurrent backpropagation networks have been used to build up a neural receiver for GSM signals. The simulations have been carried out considering an AWGN channel. Corrupted by ISI, fading and Doppler. The experimenta... 详细信息
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Analysis of the backpropagation algorithm using linear algebra
Analysis of the backpropagation algorithm using linear algeb...
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International Joint Conference on Neural Networks (IJCNN)
作者: Celso André Rodrigues de Sousa Institute of Mathematics and Computer Sciences (ICMC) University of Sao Paulo Sao Carlos Brazil
Multilayer perceptrons (MLPs) are feed-forward artificial neural networks with high theoretical basis. The most popular algorithm to train MLPs is the backpropagation algorithm, which can be seen as a consistent nonpa... 详细信息
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Reduced Complexity backpropagation-Based Adaptive Compensation of Frequency Interleaved ADC for Digital Communication Receivers
Reduced Complexity Backpropagation-Based Adaptive Compensati...
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IEEE International Symposium on Circuits and Systems (ISCAS)
作者: Leandro Passetti Benjamín T. Reyes Damián A. Morero Mario R. Hueda Fundación Fulgor Argentina Fundación Fulgor Cordoba Argentina Universidad Nacional de Cordoba Cordoba Argentina Laboratorio de Comunicaciones Digitales Universidad Nacional de Córdoba - CONICET Argentina
This work presents a reduced complexity architecture for the backpropagation-based compensation of frequency interleaved analog to digital converters (FI-ADC). Earlier literature has described a promising adaptive bac... 详细信息
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Application of multilayer perceptron with backpropagation algorithm and regression analysis for long-term forecast of electricity demand: A comparison
Application of multilayer perceptron with backpropagation al...
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International Conference on Electronic Design (ICED)
作者: D.B.L. Bong J.Y.B. Tan K.C. Lai Universiti Malaysia Sarawak Malaysia
Having an accurate forecast of future electricity usage is vital for utility companies to be able to provide adequate power supply to meet the demand. Two methods have been implemented to perform forecasting of electr... 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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backpropagation algorithm in higher order neural network
Backpropagation algorithm in higher order neural network
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International Joint Conference on Neural Networks (IJCNN)
作者: C. Chang J.Y. Cheung University of Oklahama Norman OK USA
The supervised backpropagation learning scheme is used to develop a training algorithm for multilayer higher-order neural networks (HONNs). By restructuring the basic HONN architecture, the traditional backpropagation... 详细信息
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A new backpropagation learning algorithm
A new backpropagation learning algorithm
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International Joint Conference on Neural Networks (IJCNN)
作者: D. Volovici A. Mihalache M. Iridon M. Breazu Lucian Blaga University of Sibiu Romania Politehnica University of Bucharest Romania Southeastern Methodist University Dallas TX USA
Analyses and compares several improvements to the backpropagation method for weights adjustments for a feedforward network. The networks' behavior is simulated on five specific applications. The paper also present... 详细信息
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A backpropagation system for hypercubes
A backpropagation system for hypercubes
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Symposium on Applied Computing
作者: G. Whitson C. Wu A. Ermongkonchai J. Weber Computer Science Department University of Texas Tyler Tyler TX USA
A backpropagation system for a hypercube which will select one of two implementations, depending on the size of the application, is described. One algorithm executes quickly at the cost of storage. The other optimizes... 详细信息
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Softprop: softmax neural network backpropagation learning
Softprop: softmax neural network backpropagation learning
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International Joint Conference on Neural Networks (IJCNN)
作者: M. Rimer T. Martinez Computer Science Department Brigham Young University Provo UT USA
Multi-layer backpropagation, like many learning algorithms that can create complex decision surfaces, is prone to overfitting. Softprop is a novel learning approach presented here that is reminiscent of the softmax ex... 详细信息
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Statistical analysis of the single-layer backpropagation algorithm with bias terms: mean weight behavior
Statistical analysis of the single-layer backpropagation alg...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: N.J. Bershad J.J. Shynk Department of Electrical and Computer Engineering University of California Irvine CA USA Department of Electrical and Computer Engineering University of California Santa Barbara CA USA
This paper analyzes the perceptron mean weight learning behavior for a system identification model with Gaussian input training data and fixed non zero biases for both the perceptron and the unknown system. The analys... 详细信息
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