资源列表
logistic-regression
- 逻辑回归模型的实现，可以进行训练，预测，分类-Achieve logistic regression model can be trained, forecasting, classification
Ant-Colony-Algorithm
- 这是C++蚁群代码的一个实现，在神经网络的训练中有很好的借鉴学习之处。-This is a realization of C++ code ant colony, there is a good reference point in training the neural learning network.
GA_BP
- 这是一个使用遗传算法来优化BP神经网络的程序。This is an optimized BP neural network program that uses genetic algorithms.-This is an optimized BP neural network program that uses genetic algorithms.
GA_LQR
- 这是一个基于遗传算法的LQR控制器优化设计的程序。。 对于学习LQR控制器很有用。This a LQR controller based on genetic algorithm to optimize the design of the program. . . . LQR controller is useful for learning.-This is a LQR controller based on genetic algorithm to optimize the design o
GA_TSP
- 使用遗传算法来解决旅行商的问题。。。The use of genetic algorithms to solve the traveling salesman problem.-The use of genetic algorithms to solve the traveling salesman problem. . .
MGA
- 这是一个多种群遗传算法。解决了容易陷入局部极值的问题。This a multi-population genetic algorithm. Solve the problem of easily fall into local optima.-This is a multi-population genetic algorithm. Solve the problem of easily fall into local optima.
QGA
- 这是一个关于量子遗传算法的程序。量子遗传算法是量子计算与遗传算法相结合的产物。This a program on quantum genetic algorithm. Quantum genetic algorithm is a quantum computation and genetic algorithms combined with the product.-This is a program on quantum genetic algorithm. Quantum genetic a
duomubiaoGA
- 这是一个使用遗传算法进行多目标优化的代码。能够很好地得到Pareto最优解。This is a genetic algorithm for multi-objective optimization of code. Can get a good Pareto optimal solution.-This is a genetic algorithm for multi-objective optimization of code. Can get a good Pareto optimal so
adaline.tar
- ADALINE (Adaptive Linear Neuron or later Adaptive Linear Element) is an early single-layer artificial neural network and the name of the physical device that implemented this network
EBP.tar
- backward propagation of errors , is a common method of training artificial neural networks used in conjunction with an optimization method such as gradient descent. The method calculates the gradient of a loss function with respects to all the weigh
MLP.tar
- A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs. A MLP consists of multiple layers of nodes in a directed graph, with each layer fully connected to the next
RBF.tar
- radial basis function network is an artificial neural network that uses radial basis functions a ctivation functions. The output of the network is a linear combination of radial basis functions of the inputs and neuron parameters. Radial basis functi