资源列表
chuangjianshizhizhongqun
- 创建实数值种群避免了二进制种群的编码与解码指定种群的大小及每个个体的范围-To create real value population to avoid the binary population of encoding and decoding specifies the size of the population and the scope of each individual
SOFM
- 利用自组织映射神经网络进行分类并评价模型性能-Using SOFM to realize the classfication and uating the model performance
ANN
- 利用BP神经网络实现数值拟合，并对模型性能进行评价-Using BP neural network to complete numerical fitting, and uating the model performance
rnn_review
- RNN回顾的论文，对于想了解RNN历史以及进展的同学有很大的帮助-RNN review paper, for that want to understand the history and current development of rnn.
Finding_structure_in_time
- 采用RNN的模型进行时间序列分析，对于RNN感兴趣的同学很有帮助-using recurrent neural network to solve time series analysis problem.
language-model
- 使用神经网络的方法进行语言建模，对于自然语言处理的方向的同学很有帮助！-using neural network to build the language model.
medical
- 用CNN实现的疾病预测模块，输入症状描述就可以对疾病进行预测。-predict the disece using convolution neural network
BP-hehanshubiaoda
- 在Windows环境中利用Matlab实现BP学习算法在达到期望均方误差最小的情况下正确表达傅里叶核函数。-BP learning algorithm using Matlab achieve in the Windows environment to achieve the desired mean square error at minimal correct expression of Fourier kernels.
fast_non_dominate
- matlab code for fast non dominated sorting genetic algorithm
ICDE
- 一种改进的(μ+λ)约束差分进化算法，一种很好用的处理约束优化问题的算法-An improved (μ+λ)-constrained differential evolution for constrained optimization，A good use of the algorithm to deal with constrained optimization problem
NSGA2
- 基于非支配排序的带有精英策略的多目标优化算法:NSGA-II,测试函数是DTLZ-Based on the non-dominated sorting multiobjective optimization algorithm with elitist strategy: NSGA-II, the test function is DTLZ
MOEAD
- 基于分解的多目标智能优化算法，测试函数是DTLZ-Optimization algorithm, based on multi-objective intelligence test function decomposition is DTLZ