搜索资源列表
mouqou
- BP神经网络用于函数拟合与模式识别，用MATLAB实现动态聚类或迭代自组织数据分析，关于非线性离散系统辨识。- BP neural network function fitting and pattern recognition, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Nonlinear discrete system identification.
fanfei_v46
- 利用贝叶斯原理估计混合logit模型的参数，基于人工神经网络的常用数字信号调制，关于非线性离散系统辨识。- Bayesian parameter estimation principle mixed logit model, The commonly used digital signal modulation based on artificial neural network, Nonlinear discrete system identification.
chapter9
- 离散Hopfield神经网络的联想记忆——数字识别- Associative memory of discrete Hopfield neural network Digital Recognition
matlab
- matlab30个智能算法，包含bp神经网络，离散，粒子群算法等-matlab30 intelligent algorithm, comprising bp neural network, discrete particle swarm algorithm
juihan
- 关于神经网络控制，关于非线性离散系统辨识，matlab编写的元胞自动机。- On neural network control, Nonlinear discrete system identification, matlab prepared cellular automata.
Hopfield-RNN
- 离散Hopfield神经网络的分类——高校科研能力评价- Classification of discrete Hopfield neural network uation of scientific research ability in Colleges and Universities
Sliding-Mode-Control
- 系统论述了滑模变结构控制的基本理论、基本方法和应用技术，并全部给出了MATLAB仿真分析。全书内容涵盖了滑模变结构控制发展综述、连续系统滑模控制、自适应鲁棒滑模控制、欠驱动系统滑模控制、反演及动态面滑模控制、基于滤波器及观测器的滑模控制、离散系统滑模控制、模糊滑模控制、神经滑模控制和机械手滑模控制等。-The basic theory, basic method and application technology of sliding mode variable structure contr
11122016
- Simulink Diagram and Code for Identifying a Discrete time Function using Neural Networks.
waiji
- 基于离散HP网络的图像去噪。根据Hopfield神经网络相关知识，设计一个具有联想记忆功能的离散型Hopfield神经网络。-Image denoising based on discrete HP neural network
Hopfield1
- 根据Hopfield神经网络相关知识，设计一个具有联想记忆功能的离散型Hopfield神经网络。-Based on the Hopfield neural network knowledge, design a discrete Hopfield neural network with associative memory functions.
Hopfield2
- 某机构对20所高校的科研能力进行了调研和评价，试根据调研结果中较为重要的11个评价指标的数据，并结合离散Hopfield神经网络的联想记忆能力，建立离散Hopfield高校科研能力评价模型。-A mechanism for 20 universities scientific research ability of research and uation, test according to the research results of 11 important uation index
BP
- 基于BP_Adaboost的分类器，RBF神经网络的回归，GRNN的数据预测，离散hopfield神经网络的分类，LIBSVM的实例解析。-BP_Adaboost classifier, RBF neural network regression, GRNN data prediction, discrete hopfield neural network classification, LIBSVM case analysis.
sr864
- BP神经网络的整个训练过程,雅克比迭代求解线性方程组课设,关于非线性离散系统辨识。- The entire training process BP neural network, Jacobi iteration for solving linear equations class-based, Nonlinear discrete system identification.
gie_rc40
- 关于非线性离散系统辨识，关于神经网络控制，用于特征降维，特征融合，相关分析等。- Nonlinear discrete system identification, On neural network control, For feature reduction, feature fusion, correlation analysis.
waiji
- 一个案例，离散Hopfield神经网络的联想记忆—数字识别-Associative memory digital recognition of discrete Hopfield neural networks
biugie_v73
- BP神经网络用于函数拟合与模式识别，关于非线性离散系统辨识，对HARQ系统的吞吐量分析。- BP neural network function fitting and pattern recognition, Nonlinear discrete system identification, HARQ throughput analysis of the system.
24-34
- Discrete Time Dynamic Neural Networks for Chaotic Time Series
离散Hopfield神经网络的分类——高校科研能力评价
- 离散Hopfield神经网络的分类,高校科研能力评价(Classification of discrete Hopfield neural networks and evaluation of scientific research ability in Universities)
Classification
- 离散Hopfield神经网络的分类实例，用于高校科研能力评价(Classification of discrete Hopfield neural network for evaluation of scientific research ability in Colleges and Universities)
连续Hopfield
- 连续Hopfield神经网络的拓扑结构和离散Hopfield神经网络的结构类似，连续Hopfield网络和离散Hopfield网络的不同点在于其传递函数不是阶跃函数，而是连续函数，该程序基于旅行商问题优化计算。(The topology of continuous Hopfield neural network is similar to that of discrete Hopfield neural network. The difference between continuous Hop