搜索资源列表
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这是一个用RBF神经网络用梯度算法实现的一个函数逼近源代码-This is a use of RBF neural network algorithm with gradient function approximation of a source code
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人工神经网络的实验报告，用于模式识别、函数逼近和网络预测。-Artificial Neural Network Experiment Report for pattern recognition, function approximation and forecast network.
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小脑模型是一种表达复杂非线性函数的表格查询自适应神经网络，此列例举了用于非线性函数逼近-CMAC is a complex nonlinear function of the expression of the form query adaptive neural network, this column cites for nonlinear function approximation
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Neural Network OCR.
There are many different approaches to optical character recognition problem. One of the most common and popular approaches is based on neural networks, which can be applied to different tasks, such as pattern recognition, time
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matlab程序，自己写的，仅供参考。
RANEKF算法是针对RAN算法网络收敛速度慢的缺点进行改进，例子为神经网络（RBF）对非线性函数的逼近。-matlab program, written for reference only. RANEKF algorithm disadvantage of slow the RAN algorithm network convergence speed improvements, for example, neural network (RBF)
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bp神经网络逼近非线性函数，利用matlab-bp neural network approximation of nonlinear function using matlab
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神经网络拟合函数逼近简单算例，用于简单了解原理，含注释-Neural network the fit function approximation simple example for simple understanding of principles, including the Notes
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用BP网络逼近某曲线函数，在神经网络中邮广泛的应用 是系统辨识的基础。
通过反馈来不断的调整系数，限制了最大循环次数 防止进入死循环，当然如果想要得到更精确的系数可以增大循环次数。
-Using BP network function approximation to a curve, mail is widely used in neural network is the basis of system identification.
Through feedback t
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BP神经网络用于函数逼近代码-The BP neural network for function approximation************************************
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采用bp神经网络对函数y=sin（x）进行训练，然后用测试集对训练的函数进行测试，也就是函数逼近sin（x)的曲线-Bp neural network using the function y = sin (x) for training, and then use the test set to test the training function, that is, function approximation sin (x) curve
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利用三层BP神经网络来完成非线性函数的逼近任务，其中隐层神经元个数为五个。-To complete the task of nonlinear function approximation by three layers of BP neural network, in which the number of hidden layer neurons into five.
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遗传算法 优化 BP神经网络 非线性函数 拟合-Genetic algorithm BP neural network nonlinear function approximation
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用神经网络来做函数逼近，里面的解释详细，适合初级学者-To do with the neural network function approximation, which explained in detail, for junior scholars
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神经网络函数逼近的源程序，使用bp网络进行训练。-Neural Network Function Approximation source, use the bp network training.
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这是一个BP神经网络的训练函数，用于实现对矩形波形的训练逼近。-This is a function of BP neural network training, training for implementing a rectangular waveform approximation.
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神经网络源程序在数学建模中的应用，用于分类函数逼近等-Neural network source applications in Mathematical Modeling for classification function approximation
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bp神经网络用于函数逼近，MATLAB源程序， 可运行实现(BP neural network for function approximation)
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使用粒子群算法优化bp神经网络,完成函数逼近(Optimize bp neural network using particle swarm optimization algorithm to complete function approximation)
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利用BP神经网络算法，进行正弦函数逼近，参数可以根据需要自行调节(BP neural network algorithm, a sine function approximation, parameters can be adjusted according to their own)
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