Description: 机器学习及人工智能中的多层感机的算法，可识别复杂的二维点阵图形，在实际的模式识别中很有参考价值。-Machine study for arithmetic multi-layer perceptron, it can recognize 2D dot matric graph, it is a good reference for pattern recognition Platform: |
Size: 106171 |
Author:wtm |
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Description: annie is an ANN, ie, Artificial Neural Network library developed in C++. It can be used to implement various kinds of neural networks like Multi-Layer Perceptron, Radial basis function networks, Hopfield networks etc.-ANN, ie, Artificial Neural Network library developed i n C. It can be used to implement various kinds of n Eural networks like Multi-Layer 102206. Radial basis function networks, Hopfield networks etc. Platform: |
Size: 492335 |
Author:陈伟 |
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Description: To estimate the input-output mapping with inputs x
％ and outputs y generated by the following nonlinear,
％ nonstationary state space model:
％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)]
％ + 8cos(1.2t) + process noise
％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3
％ + time varying measurement noise
％ using a multi-layer perceptron (MLP) and both the EKF and
％ the hybrid importance-samping resampling (SIR) algorithm. Platform: |
Size: 40960 |
Author:Lin |
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Description: 机器学习及人工智能中的多层感机的算法，可识别复杂的二维点阵图形，在实际的模式识别中很有参考价值。-Machine study for arithmetic multi-layer perceptron, it can recognize 2D dot matric graph, it is a good reference for pattern recognition Platform: |
Size: 105472 |
Author:wtm |
Hits:
Description: annie is an ANN, ie, Artificial Neural Network library developed in C++. It can be used to implement various kinds of neural networks like Multi-Layer Perceptron, Radial basis function networks, Hopfield networks etc.-ANN, ie, Artificial Neural Network library developed i n C. It can be used to implement various kinds of n Eural networks like Multi-Layer 102206. Radial basis function networks, Hopfield networks etc. Platform: |
Size: 492544 |
Author:陈伟 |
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Description: Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks while the third can be generalized to multi-layer perceptrons.-Single-layer neural networks can be train ed using various learning algorithms. The best- known algorithms are the Adaline. 102206 and Backpropagation algorithms fo r supervised learning. The first two are specific ic to single-layer neural networks while the th ird can be generalized to multi-layer perceptr ons. Platform: |
Size: 818176 |
Author:陈伟 |
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Description: To estimate the input-output mapping with inputs x
％ and outputs y generated by the following nonlinear,
％ nonstationary state space model:
％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)]
％ + 8cos(1.2t) + process noise
％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3
％ + time varying measurement noise
％ using a multi-layer perceptron (MLP) and both the EKF and
％ the hybrid importance-samping resampling (SIR) algorithm. -To estimate the input-output mapping with inputs x and outputs y generated by the following nonlinear, nonstationary state space model: x (t+ 1) = 0.5x (t)+ [25x (t )]/[( 1+ x (t)) ^ (2)]+ 8cos (1.2t)+ process noise y (t) = x (t) ^ (2)/20+ 6 squareWave (0.05 (t-1 ))+ 3+ time varying measurement noise using a multi-layer perceptron (MLP) and both the EKF and the hybrid importance-samping resampling (SIR) algorithm. Platform: |
Size: 40960 |
Author:Lin |
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Description: 本程序实做MLP(Multi-layer perceptron)算法，使用者可以自行设定训练数据集与测试数据集，将训练数据集加载，在2、3维下可以显示其分布状态，并分别设定键节值、学习率、迭代次数来训练其类神经网络，最后可观看辨识率与RMSE（Root Mean squared error）来判别训练是否可以停止。-This procedure is to do MLP (Multi-layer perceptron) algorithm, the user can set their own training data set and test data sets, the training data set is loaded, in the 2,3-dimensional display of their distribution, and were set key section of the value of learning rate, number of iterations to train the neural network can watch the final recognition rate and the RMSE (Root Mean squared error) to determine whether the training can stop. Platform: |
Size: 1213440 |
Author:楊易 |
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Description: 自己编的VC＋＋程序，是关于神经网络的多层感知器的-Own the VC program, on the neural network of multi-layer perceptron Platform: |
Size: 39936 |
Author:kitty |
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Description: In this project we predict the outcome of the sports in advance with the help of artificial intelligence. The model used is from of multi-layer perceptron and it’s presented with number of features which attempt to capture the quality of various sporting teams. In our system performs well and compares favorably with human tipsters in several environments. The data used in this work was taken from several different sources and covers four major league sports. Platform: |
Size: 6715392 |
Author:Rajamanickam |
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Description: 感知神经网络学习，多层感知器完成异或功能实现代码，供交流学习使用-Perceptual learning of neural network, multi-layer perceptron perform the XOR function implementation code used by the exchange of learning Platform: |
Size: 484352 |
Author:zz |
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Search - multi layer perceptron