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ANN_dgfor_bus18
- ann progra with error back propagation
Intelligent-computation-methods
- 采用bp神经网络对其进行函数拟合。误差反向传播网络（bp网络）是目前人工神经网络模式中最具代表性，应用最广泛的一种模型，具有自学习、自组织、自适应和很强的非线性映射能力，可以以任意精度逼近任意连续函数。-The bp neural network to its function fitting. Error back propagation network (bp network) is the artificial neural network model of the most repres
TOAAOA
- 为了减小NLOS 传播的影响，基于几何结构的单次反射统计信道模型，该文提出一种NLOS 环境下的TOA/AOA 定位算法。利用RBF 神经网络较快的学习特性和逼近任意非线性映射的能力，对NLOS 传播的误差进行修正以减小NLOS 传播的影响，再利用最小二乘(LS)算法进行定位，从而提高系统的定位精度。-In order to mitigate the effect of NLOS propagation, based on the Geometry Based Single- Bounced
BP
- BP神经网络：使用BP算法实现sin函数。BP神经网络的学习采用误差反向传播算法，简称BP算法。-BP neural networks: the BP algorithm sin function. BP neural network learning using the error back propagation algorithm, referred to as BP algorithm.
BPSin
- BP神经网络：使用BP算法实现sin函数。源代码.BP神经网络的学习采用误差反向传播算法，简称BP算法。-BP neural networks: the BP algorithm sin function. Source code. BP neural network learning using the error back propagation algorithm, referred to as BP algorithm.
LTE
- 对于城市环境中的高精度单频 GNSS 接收机而言，若考虑误差预报处理已抵消电离层误差，则地面传播环境所导致的多径效应将成为系统误差的主要因素。基于现有蜂窝通信的高分辨率信道估计结果，针对电波传播的幅度、相位、多普勒等特征提取信道响应函数，在极小误差范围内提供至 L 波段信号的线性特征映射-For multipath effects in urban environments with high accuracy single-frequency GNSS receiver, the foreca
Raymodel-Matlab
- These codes are used for channel proapgation. The code is using matlab. How to analyze and propagate in channel propagation.we can use these codes for Bit error rate, two ray model, Jake model and log distance model. These are very useful for studyin
bpwt
- 神经网络算法和小波分解与重构，BP（Back Propagation）网络，是一种按误差逆传播算法训练的多层前馈网络-Neural network algorithm and wavelet decomposition and reconstruction, BP (Propagation Back) network, is a kind of multilayer feedforward network trained by the error back propagation algorit
tesi_carlesmatabosch
- The goal of this thesis to study the different techniques used to register 3D acquisitions. This study detects the main drawbacks of the existing techniques, presents a new classification and provides significant solutions for some perceived sh
bfajv
- 是一种双隐层反向传播神经网络，关于神经网络控制，最小均方误差（MMSE）的算法。- Is a two hidden layer back propagation neural network, On neural network control, Minimum mean square error (MMSE) algorithm.
pan-V6.7
- 未来线路预测,分析误差,阵列信号处理的高分辨率估计，是一种双隐层反向传播神经网络。- Future line prediction, error analysis, High-resolution array signal processing estimates, Is a two hidden layer back propagation neural network.