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Description: h.264中关于帧内预测模式选择的快速算法的多篇文章，是很好的学习资料-on intra prediction mode selection Fast Algorithm for Multi-part article is a very good learning materials
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Size: 2403614 |
Author: 普明 |
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Description: 基于协同转弯模型的机动目标预测算法-model based on the synergy turning maneuvering target Prediction Algorithm
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Size: 106496 |
Author: 徐若曦 |
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Description: BP神经网络预测-BP neural network prediction
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Size: 2048 |
Author: 马林才 |
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Description: 一种窄带干扰抑制的非线性自适应预测滤波算法！-a narrowband interference suppression filter nonlinear adaptive prediction algorithm!
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Size: 1024 |
Author: 高丽 |
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Description: 下面是自编求线性预测系数的程序，MATLAB编写，可以使用-Below are seeking self coefficient of linear prediction procedures MATLAB prepared, you can use
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Size: 1024 |
Author: xu |
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Description: 该文件用ＭＡＴＬＡＢ实现了一个人工神经网络的预测算法-MATLAB an artificial neural network prediction algorithm
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Size: 1680384 |
Author: 申辉 |
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Description: h.264中关于帧内预测模式选择的快速算法的多篇文章，是很好的学习资料-on intra prediction mode selection Fast Algorithm for Multi-part article is a very good learning materials
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Size: 2403328 |
Author: 普明 |
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Description: 神经网络方法在股市预测中的应用研究
神经网络方法在股市预测中的应用研究-neural network method in the stock market prediction of neural network research in the stock market prediction of the Applied Research
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Size: 74752 |
Author: 陈光华 |
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Description: LMS自适应算法自适应预测的计算机实验matlab仿真例子-LMS adaptive prediction algorithm for the adaptive computer simulation experiments Matlab example
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Size: 4096 |
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Description: Prediction by partial matching, or PPM, is a finite context statistical modeling technique that can be viewed as blending together several fixed order context models to predict the next character in the input sequence. Prediction probabilities for each context in the model are calculated from frequency counts which are updated adaptively and the symbol that actually occurs is encoded relative to its predicted distribution using arithmetic coding. The maximum context length is a fixed constant, and it has been found that increasing it beyond about six or so does not generally improve compression. -Prediction by partial matching, or PPM. is a finite
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Size: 47104 |
Author: 陈伯 |
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Description: 利用AR模型进行时间序列预测的程序源代码，使用最小二乘估计法进行参数估计。拟合效果非常好。-use AR model for time series prediction of the source code, the use of least squares estimation method to estimate parameters. Fitting very good results.
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Size: 4096 |
Author: 李洁薇 |
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Description: 根据GPS卫星的广播星历，计算卫星的位置，也可以进行GPS卫星位置的预报-GPS satellite broadcasting ephemeris, the location of the satellites, will be able to conduct the GPS satellite location prediction
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Size: 138240 |
Author: 付建红 |
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Description: This document is part of H.264 standard and introduces the prediction of Inter Marcoblocks in P-slices. -This document is part of H.264 standard and introduces the prediction of Inter Marcoblock 's in P-slices.
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Size: 48128 |
Author: zlinling |
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Description: SVM神经网络的数据分类预测-葡萄酒种类识别-SVM neural network prediction data classification- identifying wines
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Size: 38912 |
Author: lucy |
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Description: 模糊神经网络的预测算法-嘉陵江水质评价 模糊神经网络算法-Fuzzy neural network prediction algorithm- Jialing River water quality assessment algorithm for fuzzy neural network
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Size: 14336 |
Author: lucy |
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Description: GRNN的数据预测-基于广义回归神经网络货运量预测-The data prediction GRNN- Generalized regression neural network based on volume forecast
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Size: 7168 |
Author: lucy |
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Description: Multi-step-prediction of chaotic time series based
on co-evolutionary recurrent neural network
协同进化递归神经网络的多步混沌时间序列预测-This paper proposes a co-evolutionary recurrent neural network (CERNN) for the multi-step-prediction of chaotic
time series, it estimates the proper parameters of phase space reconstruction and optimizes the structure of recurrent
neural networks by co-evolutionary strategy. The searching space was separated into two subspaces and the individuals
are trained in a parallel computational procedure. It can dynamically combine the embedding method with the capability
of recurrent neural network to incorporate past experience due to internal recurrence. The eff ectiveness of CERNN is
evaluated by using three benchmark chaotic time series data sets: the Lorenz series, Mackey–Glass series and real-world
sun spot series. The simulation results show that CERNN improves the performances of multi-step-prediction of chaotic
time series.
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Size: 152576 |
Author: |
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Description: ROUGH SET REASONING MODEL FOR PREDICTION OF DIABETES MELLITUS
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Size: 32768 |
Author: femco
|
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Description: 链路预测常见算法，AA，Katz,PA,Sorenson等。(link prediction; AA,Katz,PA,Sorenson methods)
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Size: 2048 |
Author: dolly_fl |
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Description: 准确的风电功率预测有利于含大规模风电电力系统的安全可靠、持续稳定运行，掌握风电功率预测误差的分布特征，对风电大规模并网有重要意义。以吉林省某风电场的实测数据为例，对风电功率进行超短期预测，利用非参数估计对预测误差分布进行拟合，分析了非参数估计与预测方法、预测时间间隔、预测误差概率分布形态以及风电场装机容量的关系，验证了所提出方法的有效性。(Accurate wind power prediction is conducive to safe, reliable, continuous and stable operation of large-scale wind power systems. It is important to grasp the distribution characteristics of wind power prediction errors, which is of great significance for large-scale grid connection of wind power. Taking the measured data of a wind farm in Jilin Province as an example, the ultra-short-term prediction of wind power is used. The non-parametric estimation is used to fit the prediction error distribution. The non-parametric estimation and prediction method, the prediction time interval and the prediction error probability distribution are analyzed. The relationship between the installed capacity of wind farms and the effectiveness of the proposed method is verified.)
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Size: 1349632 |
Author: 熊二之父 |
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