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A Bayesian approach for initialization of weights in backpropagation neural net with application to character recognition

机译：应用于字符识别的BackPropagation神经网络中重量初始化的贝叶斯方法

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Nadir Murru; Rosaria Rossini;
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年度 2016
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1. A Bayesian approach for initialization of weights in backpropagation neural net with application to character recognition [J] . Murru Nadir, Rossini Rosaria Neurocomputing . 2016,第Juna12期

机译：反向传播神经网络权重初始化的贝叶斯方法及其在字符识别中的应用
2. A BACKPROPAGATION NEURAL NETWORK APPROACH FOR OTTOMAN CHARACTER RECOGNITION [J] . Pelin Gorgel, Niyazi Kilic, Birsen Ucan, Intelligent automation and soft computing . 2009,第3期

机译：用于OTTOMAN特征识别的BP神经网络方法。
3. INITIAL WEIGHTS AND BIASES TO BACKPROPAGATION IN FEED FORWARD NEURAL NETWORK BY PARTICLE SWARM OPTIMIZATION [J] . PRATIK R. HAJARE, NARENDRA G. BAWANE International journal of multidisciplina . 2015,第3期

机译：粒子群算法在前向神经网络中的初始权重和向后传播的偏差
4. A Sundanese Characters Recognition Based on Backpropagation Neural Network Approach [C] . Herman Santoso Pakpahan, Haviluddin Haviluddin, Dinda Izmya Nurpadillah, International Conference on Electrical, Electronics and Information Engineering . 2019

机译：基于反向传播神经网络的Sundanese字符识别
5. Neural networks for supervised learning and prediction, with applications to character recognition and medical database analysis. [D] . Markuzon, Natalya. 1996

机译：用于监督学习和预测的神经网络，并应用于字符识别和医学数据库分析。
6. Optimization of Optical Machine Structure by Backpropagation Neural Network Based on Particle Swarm Optimization and Bayesian Regularization Algorithms [O] . Xinyong Zhang, Liwei Sun 2021

机译：基于粒子群优化和贝叶斯正则化算法的反向化神经网络优化光学机械结构
7. Java Characters Recognition using Evolutionary Neural Network and Combination of Chi2 and Backpropagation Neural Network [O] . Adipranata Rudy 2014

机译：基于进化神经网络和Chi2与Bp神经网络相结合的Java字符识别

A Bayesian approach for initialization of weights in backpropagation neural net with application to character recognition

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