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Mathimatics-Numerical algorithms list
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two user input arbitrarily long integers, for the addition, subtraction and multiplication, and the results show;
Date : 2025-09-17 Size : 162kb User : 古月

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artificial intelligence and neural networks. M, the use of the graphical user to achieve cross-section
Date : 2025-09-17 Size : 10kb User : 张夫就

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This is a course we do together, deficiencies in the hope that we can point out. this is conducive to the progress we ah
Date : 2025-09-17 Size : 1kb User : 蒋小盾

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BF and KMP algorithm example, once the operation, and I hope to you a little help
Date : 2025-09-17 Size : 1kb User : xiaoxin

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achieve three functions of the inverted pendulum, a strong factual, this program won design awards.
Date : 2025-09-17 Size : 81kb User : 岳宏达

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This applet illustrates the prediction ca pabilities of the multi-layer perceptrons. It allows to define an input signal on which predic tion will be performed. The user can choose the n umber of input units, hidden unit
Date : 2025-09-17 Size : 43kb User : 陈伟

ANN, ie, Artificial Neural Network library developed i n C. It can be used to implement various kinds of n Eural networks like Multi-Layer 102206. Radial basis function networks, Hopfield networks etc.
Date : 2025-09-17 Size : 481kb User : 陈伟

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This program demonstrates some function a pproximation capabilities of a Radial Basis Fu nction Network. The user supplies a set of train ing points which represent some "sample" point s for some arbitrary curve. Next, t
Date : 2025-09-17 Size : 18kb User : 陈伟

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BP network to vary or simulation, the implementation is wrong, but the time is too long, there debug errors. While the process itself does not affect the output, but let themselves feel imperfect.
Date : 2025-09-17 Size : 2.7mb User : 陈伟

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The Hopfield model is a distributed model o f an associative memory. Neurons are pixels and can take the values of-1 (off) or 1 (on). The netw contex has stored a certain number of pixel pattern s. During a retrieval pha
Date : 2025-09-17 Size : 14kb User : 陈伟

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Single-layer neural networks can be train ed using various learning algorithms. The best- known algorithms are the Adaline. 102206 and Backpropagation algorithms fo r supervised learning. The first two are specific ic to
Date : 2025-09-17 Size : 799kb User : 陈伟

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The EM algorithm is short for Expectation- Maximization algorithm. It is based on an ITERA tive optimization of the centers and widths of t he kernels. The aim is to optimize the likelihoo d that the given data points ar
Date : 2025-09-17 Size : 15kb User : 陈伟
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