This applet illustrates the prediction capabilities of the Multi-layer perceptrons. It allows to define an input signal on which prediction will be performed. The user can choose the number of input units, hidden units and output units, as well as the delay between the input series and the predicted output series. Then it is possible to observe interesting prediction properties.
標簽： capabilities illustrates Multi-layer perceptrons
上傳時間： 2015-06-17
上傳用戶：lnnn30
本程序實做MLP(Multi-layer perceptron)算法，使用者可以自行設定訓練數(shù)據(jù)集與測試數(shù)據(jù)集，將訓練數(shù)據(jù)集加載，在2、3維下可以顯示其分布狀態(tài)，并分別設定鍵節(jié)值、學習率、迭代次數(shù)來訓練其類神經(jīng)網(wǎng)絡，最后可觀看辨識率與RMSE（Root Mean squared error）來判別訓練是否可以停止。
標簽： Multi-layer perceptron MLP 程序
上傳時間： 2013-12-24
上傳用戶：caozhizhi
Multi-layer optical filter. FDTD Simulation comparing with analytic methods.
標簽： Multi-layer Simulation comparing analytic
上傳時間： 2014-07-13
上傳用戶：Ants
A Multi-layer aplication construction Tutorial in Pt-Br [Portuguese]
標簽： construction Multi-layer aplication Portuguese
上傳時間： 2013-12-18
上傳用戶：lgnf
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.
標簽： Single-layer algorithms best-known networks
上傳時間： 2015-06-17
上傳用戶：趙云興
SoC(System On a Chip)又稱為片上系統(tǒng)，是指將微處理器、模擬IP核、數(shù)字IP核和存儲器（或片外存儲器接口）集成在單一芯片上。SoC產(chǎn)品不斷朝著體積小、功能強的方向發(fā)展，芯片內(nèi)部整合越來越多的功能。ARM架構作為嵌入式系統(tǒng)流行的應用，其應用的擴展面臨軟件擴充的問題，而X86平臺上卻有很多軟件資源。若將已有的X86軟件移植到ARM平臺，則可以在一定程度上解決軟件擴充的問題。 本論文針對X86指令在ARM中兼容的應用，以智能手機的應用為例，提出了基于ARM嵌入式平臺，使用X86指令到ARM指令的二進制翻譯模塊，達到對X86指令的兼容。主要研究ARM公司的片上總線系統(tǒng)——AMBA AHB和AMBA APB片上總線標準。對Multi-layer總線結構進行研究，分析了Multi-layer AHB系統(tǒng)中使用的Bus Matrix模塊的結構，從Bus Matrix模塊的內(nèi)部矩陣結構和系統(tǒng)架構兩方面針對系統(tǒng)的特點作出優(yōu)化。 最后介紹了論文采用的事物級模型與Verilog HDL協(xié)同仿真的方法和系統(tǒng)的控制過程，通過仿真結果的比較，驗證了利用二進制翻譯模塊實現(xiàn)X86指令執(zhí)行的可行性和優(yōu)化后的架構較適合于X86翻譯系統(tǒng)的應用。
上傳時間： 2013-06-28
上傳用戶：釣鰲牧馬
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.
標簽： Artificial developed implement Network
上傳時間： 2014-08-17
上傳用戶：trepb001
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.
標簽： input-output the generated following
上傳時間： 2014-01-05
上傳用戶：royzhangsz
neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object oriented and focuses on reducing tedious and confusing problems of programming neural networks. By this I mean that network layers are easily defined. An entire Multi-layer network can be created in a few lines, and trained with two functions. Layers can be connected to one another easily and painlessly.
標簽： Programmer Networks entirely network
上傳時間： 2013-12-24
上傳用戶：liuchee
The STi7141 is a highly integrated SoC (systemon- chip) designed to meet the demanding needs of the interactive cable set top box market place. The STi7141 integrates all the major system functions into a single device, and provides world leading, Multi-layer, advanced security technologies to protect valuable video and audio assets.
標簽： integrated demanding designed systemon
上傳時間： 2014-01-14
上傳用戶：894898248
