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1下载：
用粒子群优化法对BP神经网络的权值和阈值进行优化，提高神经网络运行精度。-Using particle swarm optimization method for weights and threshold of BP neural network optimization, improve precision of the neural network operation.
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用布谷鸟优化法对BP神经网络的权值和阈值进行优化，提高神经网络运行精度。-Cuckoo optimization method of BP neural network weights and threshold optimization, improve precision of the neural network operation.
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matlab写的神经网络代码，其中含有遗传算法对神经网络的权值和阈值优化模块，解释比较详细，师兄的毕业设计部分代码-Written in Matlab neural network code, which contains the genetic algorithm of neural network weights and threshold optimization module, a more detailed explanation, senior graduation design p
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本书通过案例讲述时间序列分析有关的概念和方法, 不仅介绍了ARMA模型、状态空间模型、Kalman滤波、单位根检验和GRACH模型等一元时间序列方法, 还介绍了很多最新的多元时间序列方法, 如线性协整、门限协整、VAR模型、Granger因果检验、神经网络模型、可加AR模型和谱估计等. 书中强调对真实的时间序列数据进行分析, 全程使用R软件分析了各个科学领域的实际数据, 还分析了金融和经济数据的例子. 本书例题用到的实际数据都可以从网上下载.-Book time series analysis
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本程序的性能已经达到较高水平，比较了软阈值，硬阈值及当今各种阈值计算方法,关于神经网络控制。- The performance of the program has reached a high level, Comparison of soft threshold and hard threshold and today various threshold calculation method, On neural network control.
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前向型神经网络(BPNN)
1.首先使用随机函数对每一层间的连接权值矩阵和偏置向量进行随机初始化.
2.依次使用一个训练样本对网络进行训练，并按照上面的公式计算每个样本的Δti,t 1,...,T− 1
3.训练p个样本后(一次batch)，按照更新方程对W与b进行更新.
4.重复步骤2～3，直到误差小于设定的阈值或者达到设定的batch次数.-Forward neural network (BPNN) 1. First, using a random function
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利用粒子群算法（PSO）来优化BP神经网络的权值和阈值，可运行，fun.m是用来计算适应度（误差）值的，在PSO.m中点击运行即可。-Using particle swarm optimization (PSO) to optimize the BP neural network weights and threshold, can run, fun.m is used to calculate the fitness value (error)
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Pulse coupled neural network (PCNN) has a specific feature that the fire of
one neuron ca pture its adjacent neurons to fire due to their spatial proximity and
intensity similarity. In this paper, it is indicated that this feature itself is a ver
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神经网络BP算法，学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小-Neural network BP algorithm, learning rule is to use the steepest descent method, by back propagation to constantly adjust the network weights and threshold, minimize the error sum of squares of t
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比较了软阈值，硬阈值及当今各种阈值计算方法,是一种双隐层反向传播神经网络，matlab程序运行时导入数据文件作为输入参数。- Comparison of soft threshold and hard threshold and today various threshold calculation method, Is a two hidden layer back propagation neural network, Import data files as input parameter
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应用小区域方差对比，程序简单，比较了软阈值，硬阈值及当今各种阈值计算方法,BP神经网络用于函数拟合与模式识别。- Application of small area variance comparison, simple procedures, Comparison of soft threshold and hard threshold and today various threshold calculation method, BP neural network function fitt
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用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,比较了软阈值，硬阈值及当今各种阈值计算方法,是一种双隐层反向传播神经网络。- Monte Carlo simulation method of calculating the American option price and basic descr iption, Comparison of soft threshold and hard threshold and today various threshold calculation me
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基于遗传算法优化的bp神经网络训练main函数，包括数据的导入，归一化，训练，权阈值的保存等-Based on genetic algorithm optimization of bp neural network training main function, including data import, normalization, training, the preservation of the threshold, etc.
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比较了软阈值，硬阈值及当今各种阈值计算方法,包含收发两个客户端的链路级通信程序,BP神经网络用于函数拟合与模式识别。- Comparison of soft threshold and hard threshold and today various threshold calculation method, Contains two clients receive link-level communications program, BP neural network function fit
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遗传算法优化BP神经网络初始权值阈值，主程序(GA optimizes the initial weight threshold of BP neural network)
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Comparison of soft threshold and hard threshold and today various threshold calculation method, The commonly used digital signal modulation based on artificial neural network, It draws on principal component analysis algorithm (PCA).
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基于遗传算法改进阈值的神经网络 能够有效避免神经网络的阈值陷入局部极小值这一问题(The neural network based on genetic algorithm to improve the threshold can effectively avoid the problem that the threshold of the neural network is trapped into the local minimum)
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Calculation crosshairs diffraction image at different distances, BP neural network function fitting and pattern recognition, Comparison of soft threshold and hard threshold and today various threshold calculation method.
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Comparison of soft threshold and hard threshold and today various threshold calculation method, Between two images showing the relative circumstances of each pixel, BP neural network function fitting and pattern recognition.
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该程序用BP神经网络解决XOR问题，其中设置了恒定权值、阈值和随机权值、阈值；并且将梯度下降法进行添加记忆一项来改进。(Using BP neural network to solve XOR problem, the program which set up a constant weight and threshold and random weight and threshold value;And the gradient descent method to add a to impro
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