Description: kalyp是人工生命和神经网络方面架构最全的代码，对于进行仿真代码实现很有参考价值。-kalyp of artificial life and neural network architecture of the entire code for simulation code to achieve great reference value. Platform: |
Size: 805371 |
Author:王莼栋 |
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Description: kalyp是人工生命和神经网络方面架构最全的代码，对于进行仿真代码实现很有参考价值。-kalyp of artificial life and neural network architecture of the entire code for simulation code to achieve great reference value. Platform: |
Size: 804864 |
Author:王莼栋 |
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Description: 屬於SUGENO模糊模型可以藉由類神經網路架構來替代-Belonging to fuzzy model can SUGENO neural network architecture to replace Platform: |
Size: 1024 |
Author:陳曉 |
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Description: Train a two layer neural network with a recursive prediction error
％ algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully
％ connected) networks can be trained.
％
％ The activation functions can either be linear or tanh. The network
％ architecture is defined by the matrix NetDef , which has of two
％ rows. The first row specifies the hidden layer while the second
％ specifies the output layer.-Train a two layer neural network with a recursive prediction error algorithm ( recursive Gauss-Newton ). Also pruned (ie, not fully connected) networks can be trained. The activation functions can either be linear or tanh. The network architecture is defined by the matrix NetDef, which has of two rows. The first row specifies the hidden layer while the second specifies the output layer. Platform: |
Size: 3072 |
Author:张镇 |
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Description: Matlab 下 BP 神经网络的举例及详细说明。美国大学的一个实验。 虽然是 PDF文件，但程序可以直接粘贴下来运行。-The process to train and test a designed MLP neural network :
1) We make training patterns and test patterns.
2) A network architecture should be defined by newff MATLAB function with the
number of layers, neurons and transfer functions.
3) The defined neural network architecture is trained by train MATLAB function with
input patterns and training parameters.
4) We can easily check the result by using a sim MATLAB function.
Platform: |
Size: 100352 |
Author:zhulz |
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Description: 人工神经网络新进展，主要讲述一些人工神经网络结构和算法上的新进展，做人工智能的朋友很有用的资料-New progress in artificial neural networks, mainly about the number of artificial neural network architecture and algorithms on the new progress in artificial intelligence to do a friend a very useful information Platform: |
Size: 3192832 |
Author:吴奇 |
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Description: 基于VC++的神经网络剪枝算法程序；“剪枝算法”是一种通过简化神经网络结构来避免网络过拟合的有效方法之一。内附程序说明文档，介绍了该算法的主要原理，运行结果说明以及程序流程图。是很好的学习资料-VC++ based on neural network pruning algorithm program " pruning algorithm" is a kind of neural networks by simplifying the network architecture to avoid over-fitting of the effective methods. Containing a description of the procedures document, describes the main principles of the algorithm, running results show and program flow chart. Is a very good learning materials Platform: |
Size: 230400 |
Author:xinxin |
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Description: Online identify the plant dynamic by using intelligent architectures here using MLP architecture neural network for the plant. Platform: |
Size: 83968 |
Author:bui hai linh |
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Description: 本文在了解神经元和BP算法的基础上，使用MATLAB软件作为开发工具建立BP神经网络模型，重点研究了BP神经网络结构设计的原理和方法，包括影响BP神经网络训练能力的因素，以及这些因素如何影响BP神经网络的性能；改变不同参量，对比实验数据，总结各个参量对BP神经网络的影响。从而寻找最佳的BP神经网络模型。本文还对一些其他的神经网络算法进行了总结和介绍。- In this paper , based on understanding of the neuronal model and learning BP algorithm. Making use of Matlab software development tools as the establishment of a three-tier BP neural network model used in the project.Morever, Focus on the BP neural network architecture design principles and methods including the impact of BP neural network training ability of factors, and how these factors affect BP neural network performance changes in different parameters, as compared with the experimental data, summing up the various parameters of BP neural network effects. In order to find the best BP neural network model.This paper also introduce a number of other neural network structure and Algorithm. Platform: |
Size: 387072 |
Author:张聪 |
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Description: 用Skeletonization剪枝方法精简BP神经网络结构，提高网络泛化能力，对手写数字进行识别。-Skeletonization pruning method using BP neural network architecture to streamline and improve the network generalization ability of the handwritten digits recognition. Platform: |
Size: 175104 |
Author:屠海斌 |
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Description: Mackey-Glass时间序列预测建模问题，建立了四输入一输出、具有3层结构的MLP人工神经网络，实现了函数逼近的功能。-Mackey-Glass time series prediction modeling, the establishment of a four-input one output, with a 3-layer MLP artificial neural network architecture to achieve a function approximation functions. Platform: |
Size: 1024 |
Author:乔木 |
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Description: Fault diagnosis plays an important role in the oper-
ation of modern robotic systems. A number of researchers have
proposed fault diagnosis architectures for robotic manipulators
using the model-based analytical redundancy approach. One of
the key issues in the design of such fault diagnosis schemes is
the effect of modeling uncertainties on their performance. This
paper investigates the problem of fault diagnosis in rigid-link
robotic manipulators with modeling uncertainties. A learning
architecture with sigmoidal neural networks is used to monitor
the robotic system for any off-nominal behavior due to faults. The
robustness and stability properties of the fault diagnosis scheme
are rigorously established. Simulation examples are presented
to illustrate the ability of the neural-network-based robust fault
diagnosis scheme to detect and accommodate faults in a two-link
robotic manipulator. Platform: |
Size: 306176 |
Author:JTNT |
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Description: 基于神经网络结构设计方法，用于函数逼近的BP算法程序-Based on neural network architecture design for BP function approximation algorithm program Platform: |
Size: 1024 |
Author:zhangyuexin |
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Description: BP神经网络：应用BP神经网络逼近非线性函数，采用单层网络结构。提供仿真实例与源代码M文件，对于新手学习神经网络算法有很大的帮助！-BP neural networks: BP neural network to approach nonlinear function, single-layer network architecture. The simulation provided with the source code file M, neural network algorithm for the novice to learn a great help! Platform: |
Size: 10240 |
Author:张卢军 |
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