资源列表
power-quality-disturbances-ST-and-RNN
- Detection and classification of power quality disturbances ST and RNN.pdf
OWLQN
- source codes for \"Orthant-Wise Limited-memory Quasi-Newton Optimizer for L1-regularized Objectives\"
A8031352
- 一篇用SVM进行数据预测的文章 基于LIBSVM-Data with the SVM predicted an article based on LIBSVM
professional
- 人工智能中专家系统源代码,用delphi语言编写的
NN-and-DL.pdf
- 神经网络和深度学习基础讲义，可作为基本概念的理解与学习。-Neural Networks and Deep Learning
PSO
- 使用粒子群算法PSO，优化支持向量机的参数，对数据进行分类。-The use of particle swarm algorithm PSO, optimize the parameters of SVM, to classify the data.
Neural-Networks-and-Deep-Learning
- 很好的深度学习与神经网络教程，适合深度学习的初学者-Good depth and neural network learning tutorial for beginners to learn the depth of
bp333
- BP神经网络算法。 已经经过验证了 希望能带来帮助 一起学习-BP neural network algorithm. Has been proven to help bring hope to learn together
Neural-network-and-depth-study-notes
- 简单介绍神经网络基础知识和各重要深度学习流行模型，含有详细的数学推到公式。(A brief introduction to the basic knowledge of neural networks and the important depth of learning popular models, containing detailed mathematical push to the formula.)
SLPSO_C
- Implementation of a social learning PSO (SL-PSO) for scalable optimization See the details of SL-PSO in the following paper R. Cheng and Y. Jin, A Social Learning Particle Swarm Optimization Algorithm for Scalable Pptimization, -Implementatio
Adaboost_Tutorial
- adaboost学习，对于初学者很有帮助，能简单理解adaboost.希望对大家有所帮助！-adaboost learning, very helpful for beginners can be simple to understand adaboost. want to help!
sinearizationxcontrol
- 神经网络控制工具箱,包括最优控制,反馈线性化控制,预测控制-Neural network control toolbox, including optimal control, feedback linearization control, predictive control