Performance Improvement of Competitive Associative Nets via Statistical Learning Schemes and Its Engineering Applications

通过统计学习方案提高竞争关联网络的性能及其工程应用

• 批准号: 21500217
• 负责人: KUROGI Shuichi
• 金额: $ 2.41万
• 依托单位: Kyushu Institute of Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2009
• 资助国家: 日本
• 起止时间: 2009 至 2011
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21500217/
• 关键词: 競合連想ネット; 統計的学習; 制御; 音声処理; 距離画像処理

This research study has improved the performance of competitive associative nets called CAN2 by means of statistical learning schemes and shown its effectiveness in engineering applications. Here theCAN2 is an artificial neural net for learning efficient piecewise linear approximation of nonlinear function. We have(1) constructed and analyzed statistical learning algorithms for the CAN2,(2) applied to control of nonlinear time-varying plants,(3) applied to speech processing, and(4) applied to range image processing. The improved methods are shown to have flexibility, robustness, and effectiveness in many practical applications.

这项研究通过统计学习方案提高了竞争联想网络CAN2的性能，并在工程应用中显示了其有效性。这里的CAN2是一个人工神经网络学习有效的分段线性逼近的非线性函数。我们已经（1）构建和分析了CAN 2的统计学习算法，（2）应用于非线性时变对象的控制，（3）应用于语音处理，（4）应用于距离图像处理。在许多实际应用中，改进的方法具有灵活性，鲁棒性和有效性。

项目成果

Multiview Range Image Registration Using Competitive Associative Net and Leave-One-Image-Out Cross-Validation Error

使用竞争关联网络和留一图像交叉验证错误的多视图范围图像配准

• 发表时间: 2011
• 作者: S. Kurogi;T. Nagi;S. Yoshinaga;H. Koya;and T. Nishida
• 通讯作者: and T. Nishida

Dynamic state estimation using particle filter and adaptive vector quantizer

• DOI: 10.1109/cira.2009.5423166
• 发表时间: 2009-12
• 期刊: 2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation - (CIRA)
• 作者: T. Nishida;Wataru Kogushi;N. Takagi;S. Kurogi

Tracking and shape estimation of deformable object using particle filter and adaptive vector quantizer

使用粒子滤波器和自适应矢量量化器对可变形物体进行跟踪和形状估计

• 发表时间: 2010
• 作者: Takeshi Nishida;Norikazu Ikoma;Shuichi Kurogi
• 通讯作者: Shuichi Kurogi

naive Bayesian Multistep Speaker Recognition Using Competitive Associative Nets

使用竞争关联网络的朴素贝叶斯多步说话人识别

• 发表时间: 2011
• 作者: S. Kurogi;S. Mineishi;T. Tsukazaki;and T. Nishida
• 通讯作者: and T. Nishida

An Analysis of Bayesian Bagging Prediction for Improving Generalozation Performance

提高泛化性能的贝叶斯装袋预测分析

• 发表时间: 2010
• 期刊: Australian Journal of Intelligent Information Proceasing Systems (AJIIPS)
• 作者: Shuichi Kurogi;Kenta Harashima;Nozomi Shibata
• 通讯作者: Nozomi Shibata