associative processing
英 [əˈsəʊʃiətɪv ˈprəʊsesɪŋ]
美 [əˈsoʊʃiətɪv ˈprɑːsesɪŋ]
网络 联想加工; 关联式处理; 关联处理
双语例句
- Associative processor for speech processing
语音处理相联处理机 - In this study, we researched a well-known neural network modeling& MP modeling and suggest a new multidimensional MP modeling. As a biological neural mathematical model, RNN has particular advantages of associative memory, image processing and combinatorial optimization.
对著名的神经元数学模型MP模型进行了研究，提出了一种多维MP模型.作为仿生神经元数学模型，随机神经网络在联想记忆、图像处理、组合优化问题上都显示出较强的优势。 - This Paper deals with the fundamental structure of a PROLOG machine with distribution of function, associative memory and paralleled processing capacity, Based on PROLOG course, with Associative memory and hardware of special functions. the machine will work at higher speed.
探讨一种功能分布联想存贮的具有并行处理功能的PROLOG计算机结构，提出了依据PROLOG程序的进程，采用多个联想存储器和专用功能硬件，提高程序运行速度的方法。 - An optical associative recognization system based on nonlinear processing of the correlation signal and its computer simulation
一种基于相关信号非线性处理的光学联想识别系统及其计算机模拟实验研究 - A novel method of the on-line model parameter estimation using the associative memory system via discrete Taylor series ( DTS-AMS) is proposed. It makes a new access to applying the DTS-AMS to intelligent control and signal processing.
在离散泰勒级数型联想记忆系统（DTS－AMS）的基础上，提出了一种模型参数在线估计方法，为DTS－AMS在智能控制和信号处理领域中的应用提供了新的途径。 - And the strong fault tolerance and associative memory function of the neural network contribute to digital image processing.
而且神经网络较强的容错能力和联想记忆功能，有助于对噪声图像的数据及对压缩后信息不完全图像的恢复，在数字图像处理方面有更多的优势。 - For the most applications of neural networks ( e.g., optimization, associative memory, signal processing, image processing, and pattern recognition), the basic qualitative properties of the network model are the global stability of the equilibrium point.
主要原因在于这类神经网络的应用（如优化、联想记忆、信号处理、图像处理以及模式识别等）都与网络的动态特性有关。 - In recent twenty years, due to its important and potential applications in solving associative memories, optimizing solvers, signal processing, pattern recognition and so on, the dynamics of delayed neural networks have been investigated intensively.
在过去近二十年里，由于其在联想记忆、组合优化、信号处理和模式识别等问题中的广泛应用。 - Recurrent neural networks with delays, which have been successfully applied in the field of pattern recognition, signal processing, associative memory, optimization problem and so on, are nonlinear information processing systems.
时滞递归神经网络作为一种非线性信息处理系统，已成功地应用于模式识别、信号处理、联想记忆、优化计算等领域。