搜索资源列表
Neural-Networks
- pattern recognition using neural networks
4-Sinc-kernel--Neural-Networks-
- 4个信号理论的支持向量分类方法从内核神经网络以后22(1)49-57 2009 _nelson_-4 A signal theory approach to support vector classification the Sinc kernel Neural Networks 22 (1) 49-57 2009_nelson_nn
MATLAB--NEURAL-NETWORKS
- 主要接受了神经网络各个方面的应用，以及matlab代码的具体实现！-the use of neural networks with matlab code !
Sliding-Modes-and-Neural-Networks
- Wheeled Mobile Robot Control Using Sliding Modes and Neural Networks
Neural-Networks-a-Ship-Control
- 神经网络应用于船舶控制的相关文献，适合自动控制专业研究生阅读-Neural Networks & Ship Control
livre_-Kalman-Filtering-and-Neural-Networks
- livre_ Kalman Filtering and Neural Networks è-livre_ Kalman Filtering and Neural Networks è____________________________________
rbf-Neural-Networks
- rbf神经网络的一些基本应用方法，以及对其函数逼近能力的相关分析等等。-rbf Neural Networks
PAPR-reduction-using-neural-networks
- PAPR Reduction Scheme for OFDM Systems via Neural Networks
Feedback-Neural-Networks
- 反馈神经网络的matlab代码。方便学习。-Matlab code for feedback neural networks.
Artificial-Neural-Networks
- 用C++ 语言编写的神经网络算法，程序结构紧凑，非常适合初学者学习神经网络算法-Artificial Neural Networks
BP-Neural-Networks
- 神经网络 标准BP算法的误差性能曲线仿真程序-Neural Networks
An-Introduction-to-Neural-Networks
- Neural Networks document
Stochastic-Neural-Networks
- 随机神经网络,随机神经网络内容清楚，有例子，值得借鉴-Stochastic Neural Networks, Stochastic Neural Networks content is clear, there are examples worth learning
BP-neural-networks
- BP神经网络：应用BP神经网络逼近非线性函数，采用单层网络结构。提供仿真实例与源代码M文件，对于新手学习神经网络算法有很大的帮助！-BP neural networks: BP neural network to approach nonlinear function, single-layer network architecture. The simulation provided with the source code file M, neural network algorithm f
Spiking-neural-networks
- This GUi implements the Eugene Izhikevich (2003) spiking equation. Spiking Neurons simulator Easily Simulate a Customizable Network of Spiking Leaky Integrate and Fire Neurons Simulation of an STDP-based constructive algorithm for spiking neura
PSO-Learning-on-Artificial-Neural-Networks
- PSO Learning on Artificial Neural Networks
wilamowski2009
- Neural networks, architectures and learning algorithms, How not to be frustrated with neural networks.
network Simon Haykin
- 神经网络与机器学习，第三版： 神经网络是计算智能和机器学习的重要分支，在诸多领域都取得了很大的成功。在众多神经网络著作中，影响最为广泛的是这本书。(Neural networks and machine learning: Third Edition: neural network is an important branch of computational intelligence and machine learning, and has achieved great success in
ANN
- Introduction to Artificial Neural Networks
neural-networks-and-deep-learning-master
- 用不同的方法实现了神经网络（没有用第三方库，就是用numpy等实现的，对于初学者来说是不错的深入了解神经网络的素材）(Using different methods to achieve the neural network (not using third square libraries, that is, using numpy and so on, for beginners is a good understanding of the neural network material))