搜索资源列表
genetic_algorithm
- 本包包括模拟退火，禁岂搜索，遗传算法以及神经网络等算法程序，应该有你需要的
tsp1
- 一种随机神经网络应用在模拟退火算法中解决TSP问题
Research-and-application-of-ANN-algorithm
- 人工神经网络算法研究及应用 田景文.包括神经网络、遗传算法、小波网络、模拟退火算法和支持向量机，清晰易懂，非常值得一看。
多种实用算法源代码
- 包括蚁群算法、神经网络、粒子群算法、模拟退火、遗传算法等
TSP.rar
- 通过模拟退火的HOPFIELD神经网络求解TSP问题,HOPFIELD through simulated annealing neural network for solving the TSP problem
matlab-combine
- 模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集-Simulated annealing, tabu search, genetic algorithms, neural network-MATLAB program collection
selected_Algorithm_Collections_for_DSP_Application
- 基于matlab的新型信号处理算法集。包括模拟退火、遗传算法、反向传播神经网络、小波变换等等，对于统计信号处理很有参考价值。-Matlab based on a new type of signal processing algorithms. Including simulated annealing, genetic algorithm, back-propagation neural network, wavelet transform, etc., for statistical sig
BP
- 基于BP神经网络算法的研究，主要比较了模拟退火算法、遗传算法、P神经网络的区别，提出了一种比较优化的BP算法-the research for BP
SATSP
- 人工智能/神经网络，用模拟退火算法求解TSP寻求最优路径问题-AI/neural networks, simulated annealing algorithm for finding the optimal TSP path problem
Theadvancedcomparisonalgorithmlecture
- 在本讲义中，我们将着重讲述一些数学建模中常用的算法，包括神经网络算法、遗传算 法、模拟退火算法和模糊数学方法。用这些算法可以较容易地解决一些很复杂的，常规算法很难解决的问题。-In this lecture, we will focus on about a number of commonly used mathematical modeling algorithms, including neural network algorithm, genetic algorithm Meth
xianjinsuanfa
- 数学建模中的一些先进算法：神经网络、遗传算法、模拟退火法、模糊数学-Mathematical modeling of some of the advanced algorithms
Artificialneuralnetworkandsimulation
- 内容包括:人工神经网络简介、单层前向网络及LMS学习算法、多层前向网络及BP学习算法、支持向录机及其学习算法、Hopfield 神经网络,随机神经网络及模拟退火算法、竟争神经网络和协同神纤网络。每章均给出了基于MATLAB的仿真实例以及练习。 -Contents include: Introduction to artificial neural networks, single-layer feedforward network and the LMS learning algorit
Ten_Commonly_Algorithm_for_MATLAB
- 超过10种MATLAB常用算法：Floyd算法，动态规划,分治算法,概率算法,模拟退火算法,神经网络,搜索算法,贪婪算法,遗传算法,组合算法,-Over 10 types of commonly used MATLAB algorithms: Floyd algorithm, dynamic programming, divide and conquer algorithms, probabilistic algorithms, simulated annealing, neural netwo
Annealing-based-BP-neural-network-in-analog-circui
- 基于退火BP神经网络的模拟电路故障诊断方法-Annealing-based BP neural network in analog circuit fault diagnosis
Qlearningcar
- Simulink 控制VR环境中的小车。小车有5个距离传感器，能够慢慢学会避开墙壁和障碍物。小车采用加强学习（Q learning），采用神经网络对Q函数逼近。由于使用了模拟退火，小车在开始的时候会经常撞击障碍物，10次后基本就不会再撞了。 -VR environment Simulink control car. There are 5 car distance sensor, can gradually learn to avoid walls and obstacles. Car us
Advanced-Algorithm
- 高级算法，涵盖了神经网络，遗传算法，模拟退火等先进算法，值得学习。-Advanced algorithms, covering neural networks, genetic algorithms, simulated annealing, and other advanced algorithms, it is worth learning.
Advanced-algorithms
- 在本讲义中，我们将着重讲述一些数学建模中常用的算法，包括神经网络算法、遗传算法、模拟退火算法和模糊数学方法。-In this lecture, we will focus on talk about some commonly used mathematical modeling algorithms, including neural networks, genetic algorithm, simulated annealing algorithm and fuzzy mathematics
BPPSOSA
- matlab中基于模拟退火法的粒子群BP神经网络计算程序-matlab simulated annealing method based on BP neural network computing PSO program
tsp_SA
- 基于神经网络的模拟退火算法解决tsp问题-Neural network-based simulated annealing algorithm to solve the problem tsp
tsp_SA.m
- 基于神经网络的模拟退火算法解决tsp问题 matlab实现-Neural network-based simulated annealing algorithm to solve the problem tsp matlab implementation