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ieee-14-bus-model
- AN ANN BASED APPROACH FOR OPTIMAL PLACEMENT OF DSTATCOM FOR VOLTAGE SAG MITIGATION-Voltage sag has been considered as one of the most harmful power quality problem as it may significantly affect industrial production. This paper presents
fwdneural_pgm
- BPN classifier feed forward network
main_code
- feed forward neural network with genetic algorithm Training
newff-with-several-methods
- feed forward neural network trained using several methods,then efficiency of each method represented at the end
BP_ANN-matlab
- BP神经网络，用于函数逼近。程序中先用一定间隔的函数数值对神经网络进行训练，待算法大致收敛后，然后用测试数据进行测试。并输出函数逼近的误差-BP feed-forward backpropagation network，which is used to approximate function.
fractional
- This article presents a simulation model of Space vector Pulse Width Modulation (SVPWM) Rectifier using MATLAB/Simulink which ability is to stabilize an output voltage of 500 Vdc a 3 phase 300V system using a decoupling feed-forward control metho
libORF-master
- 针对各种机器学习，深度学习领域的一个matlab工具包-A machine learning library focused on deep learning.Following algorithms and models are provided along with some static utility classes: - Naive Bayes, Linear Regression, Logistic Regression, Softmax Regression, Linear S
Multi---axis-Position-Servo
- 针对多电机同步控制中传统环形耦合 PID 控制存在抗扰动性不强 扰动下同步误差较大等问题， 提出了一种带前馈控制的滑模变结构多电机相邻耦合控制策略， 建立了3 台永磁同步电动机同步控制仿真模 型， 通过 Lyapunov 稳定性理论证明了滑模控制算法的稳定性， 并进行了交变负载 突变负载实验 仿真分析和 实验结果表明， 该控制策略相比传统环形耦合 PID 控制 相邻耦合 PID 控制具有更高的同步精度和更好的抗扰 动性能-Abstract: Aiming at the probl
acopann
- the combination of artificial neural network (ANN) and ant colony optimization (ACO) algorithm has been utilized for modeling and reducing NOx and soot emissions a direct injection diesel engine. A feed-forward multi-layer perceptron (MLP) network is
yhdnnet
- NN feed forward Classifier
deepnet-master
- Nitish Srivastava University of Toronto.利用GPU训练深度学习算法-Implementation of some deep learning algorithms. Nitish Srivastava University of Toronto. GPU-based python implementation of 1. Feed-forward Neural Nets 2. Restricted Boltzmann Machines
code-(2)
- Using MATLAB tools for MLP NNs (e.g., newff, …), design a two-layer feed-forward neural network as a classifier to categorize the input geometric shapes. - The snapshot and bitmap of shapes are given: - Training shapes: shkt.bmp - Training p
NN
- implementation of feed forward neural network for classification. using dataset UCI machine learning pima-diabetes-implementation of feed forward neural network for classification. using dataset UCI machine learning pima-diabetes
ffnbp_run
- A feed forward neural network code for IDLrequres idl licens and at least virtual machine.Multiple parameters can be set for the neural network classifier
ffnbp__define
- A feed forward neural network code for IDLrequres idl licens and at least virtual machine.Multiple parameters can be set for the neural network classifier
ffnkal__define
- A feed forward neural network code for IDLrequres idl licens and at least virtual machine.Multiple parameters can be set for the neural network classifier
Archive
- feed forward neural network for image compression
cudann
- 一个前馈反向传播人工神经网络的实现，并应用CUDA加速-Implementation of a feed-forward backpropagation artificial neural network using CUDA
ELM
- 超限学习机：单隐层的前馈人工神经网络，特别之处在于训练权值的算法: 在单隐层的前馈神经网络中，输入层到隐藏层的权值根据某种分布随机赋予，当我们有了输入层到隐藏层的权值之后，可以根据最小二乘法得到隐藏层到输出层的权值-Overrun learning machine: feed-forward artificial neural network single hidden layer, is unique in that algorithm training weights: Before a s
MLP_NN
- Multilayer Perceptron (MLP) Neural Network Function using MATLAB: An implementation for Multilayer Perceptron Feed Forward Fully Connected Neural Network with a sigmoid activation function.- Multilayer Perceptron (MLP) Neural Network Functio