神经网络

In the first step, we set up a feature vector database, then we use Euclidean distance metric and a three-layer BP neural net to recognition.

在识别阶段，首先使用欧式距离进行特征矢量之间的匹配来识别，然后考虑到神经网络在处理诸如学习、理解等问题具有的优越性，又采用了神经网络方法进行识别分类，论文中采用一个三层前馈神经网络，权值调整使用BP算法。

The cause of the target fade-out in Neural Network nonuniformity correction scheme for infrared focal plane arraywas studied. Based on analyzing the strength and limitation of edge-directed NN scheme and nonuniformity correction combining one-point calibration and NN-NUC, a new combinational algorithm for nonuniformity correction was proposed.

中文摘要：分析了传统神经网络非均匀性校正算法在空域处理过程中产生目标退化的原因，在总结基于边缘指导的神经网络校正算法与一点定标和神经网络结合的校正算法的基础上，提出了新的组合校正算法。

A new finger-print recognition method using pulse-coupled neural network s;2. Image segmentation based on pulse-coupled neural network ;3. The principle of pulse-coupled neural network used for determining the optimum route is analyzed.

分析了脉冲耦合神经网络的路径寻优原理，针对交通诱导系统的要求提出了脉冲耦合神经网络的简化方法和应用模型，给出了基于脉冲耦合神经网络简化模型的最短路径的算法。

As CMAC neural network could not be used to approximate the multi-valued mapping of an inverse hysteresis directly, an inverse hysteretic operator was proposed to transform the multi-valued mapping into a one-to-one mapping which could enable neural networks to approximate the behavior of an inverse hysteresis.

由于CMAC神经网络不能够直接逼近滞回逆这种具有记忆性的多映射现象，通过引入一个滞回逆算子，将多映射的滞回逆转换成一一映射，然后运用CMAC神经网络控制器来逼近这个一一映射，从而建立一个基于CMAC神经网络的滞回逆模型。

An algorithm based on the square-root unscented Kalman filter is proposed for weight estimation of the neural network, which can overcome the BP algorithm's drawbacks of slow learning speed, high computational complexity and the likeliness to make the study fall into the local minimum points.

提出一种利用平方根无轨迹卡尔曼滤波进行神经网络权值估计的算法，该算法可以克服BP算法存在的学习速率缓慢、计算量大、容易使学习陷入局部极小等缺点以Mackey-Crass混沌时间序列作为神经网络输入，运用SR-UKF算法、UKF算法、BP算法仿真神经网络。

The theory of neural networks comes from American psychologist McCulloch and mathematician Pittss article in 1943. They described neural network with logistic and mathematical language.

神经网络的理论研究起源于1943年，美国心理学家McCulloch与数学家Pitts合作，用逻辑的数学工具研究客观事件在形成神经网络中的表述，从此开始了对神经网络研究的热潮。

A new approach, named Rule_Based Neural Network Expert System, is presented in this paper, which combines the merit of expert system, neural network and fuzzy theory.

论文提出的基于规则的神经网络专家系统方法结合了专家系统、神经网络、模糊技术的优点，提高了诊断效率，加快了诊断速度，并能对诊断过程作出必要的解释，克服了传统专家系统诊断和神经网络系统诊断的缺点。

Based on NewGA, the thesis proposes a multigroup parallel genetic algorithm with simulated annealing method , then combines MPGASA with BPNN. According to whether simulated anealing method is used or not, two parallel genetic neural networks are implemented respectively. Results show that PGANN_SA is superior to PGANN and NewGANN.

在NewGA的基础上首次提出一种基于模拟退火机制的多种群并行遗传算法MPGASA，将MPGASA与神经网络相结合，按照是否采用模拟退火机制接受新个体分别实现了两种并行遗传神经网络PGANN_SA和PGANN，计算结果表明采用模拟退火机制有利于改善遗传神经网络的性能。

Through the analysis the work of constructive algorithm and nappe neural networks,the constructive algorithm for training nappe neural network ensembles is proposed.

在分析构造性神经网络集成和层状神经网络集成方法的基础上，提出了一种构造性层状神经网络集成方法。

There exists convergence speed is slow problem in neural networks. In order to solve the problem of convergence speed, Genetic Algorithm is used to optimize BP nerve network.

3由于神经网络存在收敛速度慢的问题，利用遗传算法对神经网络进行优化以解决神经网络收敛速度慢的问题，仿真结果表明了方法的有效性。

Singer Leona Lewis and former Led Zeppelin guitarist Jimmy Page emerged as the bus transformed into a grass-covered carnival float, and the pair combined for a rendition of "Whole Lotta Love".

歌手leona刘易斯和前率领的飞艇的吉他手吉米页出现巴士转化为基层所涵盖的嘉年华花车，和一双合并为一移交&整个lotta爱&。

This is Kate, and that's Erin.

这是凯特，那个是爱朗。