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- recursive fuzzy neural net controller 递归模糊神经网络控制器
- Neural nets controller 神经网络控制器
- Neural nets are also supposed to learn. 神经网络也可假定为可以学习。
- A kind of dynamic neural net is introduced, and it is used for artificial temperature control of cement rotary kiln. 介绍了一种动态神经网络,并用此神经网络对水泥回转窑温度实行了仿真控制研究。
- His interests include grid computing, neural nets, and artificial intelligence. 他的兴趣包括网格计算、神经网络和人工智能。
- The result of simulation shows the fuzzy neural net work control is practicable and its control accuracy takes the precede nce over the traditional methods. 通过仿真证明了模糊神经网络控制的可行性，控制精度优于传统方法。
- In order to match two loads,which are high temperature heat pump s output and consumer s requirement,a neural net predictor was proposed and used in control system of heat pump. 为了使高温热泵输出负荷与用户所需负荷相匹配,尝试将一种神经网络预测器用于热泵系统的负荷调控之中。
- This paper put forward fuzzy control based on neural net, it influxes the advantage of fuzzy logic and neural net, gathers learning, association and self-adaptation together. 本论文提出了基于神经网络的模糊逻辑控制，它汇集了模糊逻辑与神经网络各自的优点，集学习、联想、自适应于一体。
- This would be accomplished by training a neural net to make two cuts. 把神经网络培训成能实现两个切割就可完成这种工作。
- In order to match two loads, which are high temperature heat pump's output and consumer's requirement, a neural net predictor was proposed and used in control system of heat pump. 摘要为了使高温热泵输出负荷与用户所需负荷相匹配，尝试将一种神经网络预测器用于热泵系统的负荷调控之中。
- Finally, the outputs of every classify GMM will be fused by Neural Net (NN). 并采用神经网络实现各个分类高斯混合模型输出的融合。
- As for me, I work with neural nets, the implementation of which is greatly simplified by a matrix or two. 对于我来说,我正从事神经网络的研究而一两个矩阵可以大大简化神经网络的实现。
- Is an algorithm that extends the analysis that underpins the delta rule to neural nets with hidden nodes. 这一算法把支持delta规则的分析扩展到了带有隐藏节点的神经网络。
- Richard P. Lippmann, ”An Introduction to Computing with Neural Nets”,IEEE ASSP Mag.pp.4-22,April 1987. 林升甫、洪成安，神经网路入门与图样辨识，全华图书有限公司。
- R.P. Lippmann, “An Introduction to Computing with Neural Nets”, IEEE ASSP Magazine, pp. 4-17, April 1987. 蔡宜成;类神经网路模式应用与实作;儒林图书有限公司;2000年4月七版.
- This article discusses the basic features of neural nets and approaches to constructing them so you can apply them in your own coding. 这篇文章讨论了神经网络的基本功能以及构造神经网络的方法,这样就可以在编码时应用它们了。
- Research Areas: robotics, neural net, Gaussian process, scientific computing, and software/ hardware development. 主要研究领域为冗余机器人，递归神经网络，高斯过程，科学计算和软硬件开发。
- Similarly, in weight modification, a neural net can seek a weight distribution that minimizes error. 在权系数的调整中,神经网络将会找到一种将误差减少到最小的权系数的分配方式。
- One solution is to construct a neural net that learns to identify these languages. 一种解决方案是构造一个能够学习识别这些语言的神经网络。
- Research Areas: robotics, neural net, Gaussian process, scientific computing, and software/hardware development. 主要研究领域为冗余机器人，递归神经网络，高斯过程，科学计算和软硬件开发。
