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Description: 一个运用遗传算法来训练神经网络的程序-use of a genetic algorithm to train the neural network process
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Size: 8192 |
Author: 陈雷 |
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Description: 使用遗传算法来训练神经网络，编写的matlab源程序，供大家参考。-The use of genetic algorithms to train neural networks, the preparation of the matlab source code for reference.
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Size: 1024 |
Author: 张杰 |
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Description: 利用遗传算法来训练BP神经网络的权值和阈值-The use of genetic algorithm to train the BP neural network weights and thresholds
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Size: 1024 |
Author: shui |
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Description: 一个神经网络采用遗传算法训练的PPT,挺不错的-A PPT about GA train used by nn
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Size: 110592 |
Author: 李林 |
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Description: 遗传优化BP神经网络程序，GA训练BP。VC程序-GA train BP in VC6.0,it could improve accurate.
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Size: 6144 |
Author: 朱斌 |
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Description: GA to train my neural network
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Size: 4096 |
Author: ali |
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Description: 利用遗传算法解决列车优化运行问题，为了简化问题考虑只有一个牵引和惰性的过程。-Genetic algorithm is used to solve the problem of train operation optimization. In order to simplify the problem, there is only one process of traction and inertia.
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Size: 4096 |
Author: 江溯帆 |
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Description: AI - Simple Genetic Algorithm (GA) to solve a card problem-Introduction
This article describes how to solve a logic problem using a Genetic Algorithm. It assumes no prior knowledge of GAs. In fact, half of this article is dedicated to explaining the internal structure of a Genetic Algorithm.
So what is the problem domain we are trying to solve?
Well, GAs can be used to solve many problems. In fact, GAs have been used to grow new mathematical syntax trees, train multi-layer neural networks, to name but a few instances.
However, for this example, I have used a simple card splitting excercise, which is as detailed here:
You have 10 cards numbered 1 to 10
You have to divide them into two piles so that:
The sum of the first pile is as close as possible to 36.
And the product of all in the second pile is as close as possible to 360.
Now, I am not saying that this could not be done by hand, using old fashioned brain juice, it s just better suited to a GA, as it could take 100s or even 1000s of different combinations to get the correc
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Size: 45056 |
Author: xps1530 |
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Description: 用MATLAB实现自适应神经模糊推理系统（ANFIS）结构训练。代码中，首先创建一个初始原ANFIS结构，然后采用遗传算法（GA）、粒子群优化（PSO）来训练ANFIS。此进化训练算法可用于解决非线性回归函数逼近问题。-Implementation of adaptive neural fuzzy inference system (ANFIS) based on MATLAB. Code, the first to create an initial original ANFIS structure, and then using the genetic algorithm (GA), particle swarm optimization (PSO) to train ANFIS. This evolutionary training algorithm can be used to solve the nonlinear regression function approximation problem.
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Size: 21504 |
Author: 张贝 |
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