搜索资源列表
ESNtools
- 回声状态神经网络(ESN)是一种性能优异的递归神经网络,已经在各领域广泛研究,这是ESN的发明人研制的MATLAB工具箱,可供有关人员参考使用
Recurrent
- 递归神经网络程序,用于递归神经网络的训练,并可以进行泛化。
BPnn
- 递归神经网络故障诊断,可以看看,不错的哦
递归神经网络对时间序列的预测
- 递归神经网络对时间序列的预测
yichuan
- 递归遗传算法,可以非常有效的对神经网络的结构和初始权值进行优化。-Recursive genetic algorithm, can be very effective on the neural network structure and initial weights are optimized.
lubang
- 电液伺服系统的动态递归模糊神经网络辨识与鲁棒控制研究 优秀的博士论文-Electro-hydraulic servo system dynamic recurrent fuzzy neural network identification and robust control of outstanding doctoral thesis research
ESNtools
- 回声状态神经网络(ESN)是一种性能优异的递归神经网络,已经在各领域广泛研究,这是ESN的发明人研制的MATLAB工具箱,可供有关人员参考使用-Echo state neural networks (ESN) is a performance of recurrent neural networks have been extensively studied in various fields, which is ESN invento
Recurrent
- 递归神经网络程序,用于递归神经网络的训练,并可以进行泛化。-Recurrent neural network procedure for recurrent neural network training and generalization can be carried out.
BPnn
- 递归神经网络故障诊断,可以看看,不错的哦-Recurrent neural network fault diagnosis, you can see, oh well
changyongsuanfa
- 是各种常用算法的集合,又递归、神经网络、遗传、枚举、排序、圆周率求解等等。是学习的好材料。-Is a collection of various commonly used algorithms and recursive, neural networks, genetic, enumeration, sorting, solving, etc. pi. Is a good learning materials.
DRNNXX
- 这是我写的关于对角递归神经网络的程序,或许对你有所帮助。-This is written about me on the diagonal recurrent neural network procedures, may be helpful to you.
PSOGABPDRNN
- 此包含有遗传算法、粒子群算法、BP算法优化对角递归神经网络的MATLAB程序-This includes genetic algorithms, particle swarm optimization, BP algorithm for diagonal recurrent neural network of the MATLAB program
ElmanRnn
- Elman递归神经网络对时间序列的预测代码,做的效果还行,仅供参考-Elman recurrent neural network for time series prediction code, do the results were OK for reference purposes only
QDRWNN
- 准对角递归小波神经网络PID算法,其控制效果要比常规的多变量PID控制算法要好的多-Design of multivariable self-tuning PID controllers via Quasi-Diagonal Recurrent wavelet Neural Network
recurrent_network
- 用matlab编写的动态递归神经网络,是个例子-recurrent network
Multi-step-prediction-of-chaotic
- 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-predictio
Recurrent-T-S-FNN
- 递归T-S模糊神经网络学习算法,用遗传算法优化参数-Recursive TS fuzzy neural network learning algorithm, using genetic algorithm parameters
figs
- 一类递归神经网络的仿真源代码--得到的结果能很好的说明它的稳定性。 -the globally asymptotically stable of integro-differential systems modeling neural networks with time-varying delays
对角递归
- 用于时间序列的训练以及预测。非常实用,需要的可以下载看看。(DRNN ee e fwasfegadff)
LSTM-Human-Activity-Recognition-master
- 与经典的方法相比,使用具有长时间记忆细胞的递归神经网络(RNN)不需要或几乎不需要特征工程。数据可以直接输入到神经网络中,神经网络就像一个黑匣子,可以正确地对问题进行建模。其他研究在活动识别数据集上可以使用大量的特征工程,这是一种与经典数据科学技术相结合的信号处理方法。这里的方法在数据预处理的数量方面非常简单(Compared with the classical methods, the recursive neural networ