Kalman filter simulator

Joone神经网络开源－－框架完全手册，但是，是英文的。不过很值得一看，-Joone neural network revenue- the framework of full manual, however, is English. But it is worth a visit,

遗传算法进行优化神经网络结构-genetic algorithm optimization neural network architecture! !

一个求解TSP问题的例子,用delphi编写.有很好的参考价值 -a TSP example, prepared with delphi. A very good reference value

goat遗传算法工具包，可参考使用，节省遗传算法开发时间-goat genetic algorithm tool kit, refer to the use of genetic algorithms to save development time

　人工神经网络(Aartificial Neural Network，下简称ANN)是模拟生物神经元的结构而提出的一种信息处理方法。早在1943年，已由心理学家Warren S.Mcculloch和数学家Walth H.Pitts提出神经元数学模型，后被冷落了一段时间，80年代又迅猛兴起［1］。ANN之所以受到人们的普遍关注，是由于它具有本质的非线形特征、并行处理能力、强鲁棒性以及自组织自学习的能力。其中研究得最为成熟的是误差的反传模型算法(BP算法，Back Propagation)，它的网络结构及算法直观、简单，在工业领域中应用较多。-Artificial Neural Networks (Aartificial Neural Network, under the short title of ANN) is a simulation of the structure of biological neurons and the information put forward a method of treatment. At early 1943, by Warren S. Mcculloch psychologists and mathematicians Walth H. Pitts proposed mathematical model of neurons, was left out in the cold for some time, and the rapid rise of the 80" s [1]. ANN because the general concern of the people is the essence of it is because of the non-linear characteristics of parallel processing capabilities, strong robustness and self-organizing capacity of self-learning. Research one of the most sophisticated are the error-propagation model of the algorithm (BP algorithm, Back Pro

本程序用模拟退火算法实现了旅行商问题（tsp问题）-the procedures used simulated annealing algorithm to achieve the traveling salesman problem (tsp)

《生物信息学》现在模式识别应用的一个重要方向。希望可以给大家有点作用！- Bioinformatics is an important direction of pattern recognition applications. Wish to give you a little Role!

一套从入门到精通的Matlab学习教材，附有大量例子，包括神经网络源代码-a proficient from entry to the study and teaching of Matlab, with a large number of examples, including source code neural network

多目标优化问题，此例中经遗传算法优化子代个体数目逐步减少，最后稳定在10个染色体个体-Multi-objective optimization problem, in this case, by the genetic algorithm to gradually reduce the number of offspring individuals, and finally stabilized at 10 chromosome individual

目前最好的A*寻路算法-Currently the best A* pathfinding algorithm. . . . . . . . .