搜索资源列表
BP
- BP神经网络，神经网络预测，查分的方法，用于数据平稳化处理，-BP neural，Neural Network Prediction network method of check points for smooth data processing,
Water-Distribution-System-Modeling
- 基于系统辨识理论和数据驱动建模方法，建立了供水管网 NARX（Nonlinear Auto-Regressive with eXogenous Inputs）神经网络模型-Based on system identification theory and data driven modeling method, a neural network model of water supply network is established.
Water-Supply-System-
- 本文分别采用基于时间序列分析的方法和人工神经网络方法建立了天级需水量预报模型-Based on time series analysis method and artificial neural network method, the model of water demand forecasting is established in this paper.
nbpfcrudgen-0.35.2-8.1_patch1-impl
- Face recognition using BPNN. Contains 1.Face recognition using Back propagation neural network (customize code) code using matlab. 2. Face recognition using Back propagation network (builtin) code using matlab.Project closed for now,Adeel Raza Azeemi
EPNN-ICAE
- 加强神经网络 加强神经网络 -enhanced probability neural network
ADP-Hawaii-FL-plenary-07
- Dynamic programming Neural network presentation
AA
- EMD神经网络的时间序列预测，内容翔实，方法还可以。-EMD neural network time series prediction, informative, the method can be.
Reinforcement-Learning
- 基于神经网络的强化学习是对强化学习算法的一种改进，本文讲述了将基于神经网络的强化学习算法用于移动机器人动态导航。-Reinforcement learning based on neural network is an improvement of reinforcement learning algorithm. This paper describes the reinforcement learning algorithm based on neural network for dynam
BP-bending-roll
- Application of BP neural network in the bending roll control system of straightening machine
Design--PID-controller-BP
- Design of PID controller of BP neural network based on DSP
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- Neural Network Vector Control of a Permanent Magnet Synchronous Motor Drive
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- Vector Controlled Permanent Magnet Synchronous Motor Drive Based on Neural Network and Multi Fuzzy Controllers
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- Artificial Neural Network-Based Controller for Permanent Magnet Synchronous Motor Servo System
WNN-Time-Series-Prediction
- 一篇经典的学术论文，基于小波神经网络的时间序列预测，适合初学者学习-The Application of Wavelet Neural Network in Time Series Prediction and
A-New-Unconstrained-Optimization-Method-based-on-
- In this paper, we try to use feedback control system as a new hybrid method to solve optimization problems. Because controller can control plant for a goal, if the plant is replaced by the cost function and the goal is changed to be solving o
Research-on-Optimization-of-Speed-Identification.
- Introducing the rank-weight method into the basic ant colony optimization (ACO), we use the modified ACO to optimize the weights and thresholds value of neural networks (NN). And when the BPNN is being trained, this method can solve the disad
melppaper6
- 为了提高深度模型的编码重构性能,本文为传统对比散度(Contrastive divergence,CD)添加了基于交叉熵的重构误差约束。利用改进后的算法训练了重构性深度自编码机(Reconstructive deep au-to-encoder,RDAE),并用 RDAE 替换混合激励线性预测编码(Mixed excitation linear prediction, MELP)语音编码器中 LSF 参数的矢量量化方法。测试结果表明,改进后的算法在损失一定模型似然度的条件下获得了重构性能的提升,
BP
- BP神经网络与遗传算法联合寻找函数的最小值-BP neural network optimization
1-20
- matlab神经网络43个案例，包含经典的MATLAB神经网络案例元代码。-matlab neural network 43 cases
Novel-Neuronal-Activation
- Feedforward neural network structures have extensively been considered in the literature. In a significant volume of research and development studies hyperbolic tangent type of a neuronal nonlinearity has been utilized. This paper dwells on the w