Besides MATLAB can do BP neural network, what other software can do it
In addition to MATLAB can do BP neural network, there are other software that can do theoretical programming language, such as VB, C language, the process is also modeling, quantification, calculation and result output (graphs, tables), but the development of matlab Up to now, many toolboxes have been integrated, so they are the most widely used. To use others, you have to start with source code development, so why bother to look far away.
Google AI Writing Project: Neural Network Pseudo-Original
What kind of software is generally used in the design of artificial neural networks? Is there any software that does not require programming? 20
What software is used to process the deep neural network algorithm
According to Microsoft, this new speech recognition software uses a technology called "deep neural network", which makes the software process human speech similarly to the human brain.
"We're trying to replicate the way the human brain hears and processes human speech," Stefan Weitz, head of Microsoft's Bing search business, said on Monday.
"Microsoft also said that compared with the original WP mobile phone speech recognition technology, the speech recognition accuracy of the new technology has increased by 15%, and the speed of creating corresponding text and searching keywords is also faster. In this way, Bing returns the corresponding Search results are now twice as fast as before.
Michael Tjalve, senior program manager for speech processing technology at Microsoft, also said: "With our latest speech recognizer, you not only get better results, but also faster.
"Microsoft has released this technology for Windows Phone mobile phone users in the US market. Through this new technology, users will more easily use voice commands to create text messages, conduct web searches and other activities.
What software can analyze artificial neural networks 5
How to Realize Neural Network Application with Matlab Software
I will give you an example, and I hope to have a certain understanding of the implementation of neural network applications through this example.
%x, y are the input and target vectors x=1:5; y=[639 646 642 624 652];% create a feedforward network net=newff(minmax(x),[20,1],{'tansig ','purelin'});% Simulate the untrained network net and draw y1=sim(net,x);plot(x,y1,':');%Use LM optimization algorithm net.trainFcn='trainlm' ;% Set the training algorithm net.trainParam.epochs=500;=10^(-6);% Call the corresponding algorithm to train the BP network [net,tr,yy]=train(net,x,y);% Perform the BP network Simulation y1=sim(net,x);% calculate simulation error E=y-y1; MSE=mse(E)hold on% draw matching result curve figure;plot(x,y1,'r*',x,y, 'b--') execution result.
May I ask how the matlab control algorithm is implemented in the software? For example, the neural network algorithm for controlling the manipulator, although it can be implemented on matlab
BP neural network is the most basic and commonly used neural network. Matlab has special functions to build and train it, mainly three functions: newff(), train(), and sim(). matlab, neural network algorithm, algorithm, software, Mechanical BP neural network is the most basic and commonly used neural network. Matlab has special functions to build and train it, mainly three functions: newff(), train(), and sim().