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1#. A Methodology and a System for Adaptive Speech Recognition in a Noisy Environment Based on Adaptive Noise Cancellation and Evolving Fuzzy Neural Networks

机译：1＃。基于自适应噪声消除和演化模糊神经网络的噪声环境下自适应语音识别方法及系统

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作者
Nikola Kasabov; Georgi Iliev;
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年度 2015
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1. Visual evoked potential estimation by adaptive noise cancellation with neural-network-based fuzzy inference system. [J] . Zeng Y, Zhang J, Yin H, Journal of medical engineering & technology . 2007,第3期

机译：基于神经网络的模糊推理系统通过自适应噪声消除实现视觉诱发电位估计。
2. Application of adaptive noise cancellation with neural-network-based fuzzy inference system for visual evoked potentials estimation. [J] . Yin H, Zeng Y, Zhang J, Medical engineering & physics. . 2004,第1期

机译：自适应噪声消除与基于神经网络的模糊推理系统在视觉诱发电位估计中的应用。
3. The performance comparison of discrete wavelet neural network and discrete wavelet adaptive network based fuzzy inference system for digital modulation recognition [J] . E. Avci, D. Avci Expert systems with applications . 2008,第1a2期

机译：离散小波神经网络与离散小波自适应网络基于模糊推理的数字调制识别性能比较
4. Hybrid system for robust recognition of noisy speech based on evolving fuzzy neural networks and adaptive filtering [C] . Kasabov, N., Iliev, . 2000

机译：基于进化模糊神经网络和自适应滤波的鲁棒语音混合识别系统
5. Wavelet transform approach for adaptive filtering with application to fuzzy neural network based speech recognition. [D] . Jung, Byung-Chul. 2001

机译：小波变换的自适应滤波方法及其在基于模糊神经网络的语音识别中的应用。
6. Self-Adaptive Prediction of Cloud Resource Demands Using Ensemble Model and Subtractive-Fuzzy Clustering Based Fuzzy Neural Network [O] . Zhijia Chen, Yuanchang Zhu, Yanqiang Di, 2015

机译：基于集成模型和减法-模糊聚类的模糊神经网络对云资源需求的自适应预测
7. Hybrid System for Robust Recognition of Noisy Speech Based on Evolving Fuzzy Neural Networks and Adaptive Filtering [O] . Nikola Kasabov, Georgi Iliev 2015

机译：基于进化模糊神经网络和自适应滤波的混沌系统鲁棒语音识别

1#. A Methodology and a System for Adaptive Speech Recognition in a Noisy Environment Based on Adaptive Noise Cancellation and Evolving Fuzzy Neural Networks

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