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Matlab_bp
- BP（Back Propagation）网络是1986年由Rumelhart和McCelland为首的科学家小组提出，是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。-
annbp
- 人工神经网络中的前馈神经网络，反向传播算法，-Artificial neural network feed-forward neural network, back propagation algorithm,
BP
- BP（Back Propagation)神经网络算法及其改进算法-BP neural network algorithm and improved algorithm
PID-control-based-BP
- 用一个多层前向神经网络，采用反向传播算法依据控制要求实时输出Kp、Ki、Kd，依次作为PID控制器的实时参数，代替传统PID参数靠经验的人工整定和工程整定，以达到对大迟延主气温系统的良好控制。-We use a multilayer feedforward neural network using back propagation algorithm and based on control requirements.This net can real-time output Kp, Ki, K
bpsim
- A program that implements the multilayrs neural networks back propagation s algorithm
Back-Propagation-NN
- 该BP算法，采用网络上盛行的，以模拟电路实例，检测该算法的可行性-The BP algorithm, using popular network to simulate the circuit instance, testing the feasibility of the algorithm
nnet
- face recognition..matlab code for learing,testing,training..with back propagation neural network..with biosand without bios coding
Pengenalan-Tutur-Terisolasi-Menggunakan-FFT-dan-J
- Isolated speech recognition using FFT for features extraction and Artificial Neural Network with Back Propagation for classificassion and recognition.
newff
- feed forward back propagation neural network-feed forward back propagation neural network
BNN4IRIS
- 此程式是類神經演算法之中倒傳遞網路程式碼 此mse結果並沒有完全達到標準-This program is among the back-propagation neural network algorithm code for this mse results are not fully up to standard
BP
- 构建BP神经网络，源码。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。-BP neural network to build, source. BP network can learn and store a lot of input- out
Recognize-the-spech-using-back-propagation-Neural
- This program explains the idea of recognation the spech using BPNN.
backpropagation
- redes neuronales back-propagation
nn(S.Haykin)
- 神经网络原理 Simon Haykin 基本涵盖了神经网络的许多基础部分和重要方面。像Back Propagation， Radial-Basis Function，Self-Organizing Maps，以及single neuron中的Hebbian Learning, Competitive Learning和LMS Learning。 -Neural network theory Simon Haykin covering the basic part of the neural
Neural-Networks
- 神经网络原理 Simon Haykin 英文版 基本涵盖了神经网络的许多基础部分和重要方面。像Back Propagation， Radial-Basis Function，Self-Organizing Maps，以及single neuron中的Hebbian Learning, Competitive Learning和LMS Learning。 -Neural network theory Simon Haykin in English covering the neural net
BP
- 本程序实现了简单的反向传播算法，以及对简单函数的拟合。-This program implements a simple back-propagation algorithm, as well as a simple function fitting.
facebpn
- This program will give better precision and recall rate as this coding uses Back propagation network
blackmer_ICWN_11
- The decoding of Low Density Parity Check (LDPC) codes through the iterative process of belief propagation presents practical challenges for designers looking for real time performance in communication systems. Due to the geometric and finite pattern
simulation-of-BP-neural-network
- BP神经网路的matlab仿真，该程序用matlab演示了BP神经网络的学习机制。-simulation of Back Propagation neural network
neuro_src_CSharp
- 一个神经网络计算的库，实现几个通用神经网络体系和训练方法，自识别图，弹性网络等.like Back Propagation, Kohonen Self-Organizing Map, Elastic Network, Delta Rule Learning, and Perceptron Learning.-In this article, a C# library for neural network computations is described. The library impleme