In the following examples, thesimfunction is called implicitly by calling the neural network object (net) as a function. Simulate Feedforward Networks This example loads a dataset that maps anatomical measurementsxto body fat percentagest. A feedforward network with 10 neurons is created and traine...
set_param('neural','Lock','off') add_block('simulink/User-Defined Functions/Interpreted MATLAB Function',['neural/Transfer' char(13) 'Functions/',fname], 'matlabfcn',fname,'name',fname) 2. Call it with the name of your transfer function. For example: add_trfcn('mytf')...
Example:"fc" Example:"add/in1" Output Arguments collapse all Updated network, returned as an uninitializeddlnetworkobject. To initialize the learnable parameters of adlnetworkobject, use theinitializefunction. TheconnectLayersfunction does not preserve quantization information. If the input network is a...
This example uses a neural network to perform beam selection using only the 3D coordinates of the UE and a channel model compliant with the definition in TR 38.901. The example consists of these steps: Generate a set of training samples, where each sample consists of a UE location and the ...
在MATLAB输入命令“edit fxpoptdemo_neural_networks_script",就会出现本例的所有脚本。这个脚本大致可以分成以下部分 浮点模型自动生成 基于浮点模型的定点化改进 定点化工具使用 生成HDL代码 首先,1-47行实现的是浮点模型的自动生成,本质上就是调用Neural Network Pattern Recognition App,导入Example Data Set - engine...
Mdlis a trainedClassificationNeuralNetworkclassifier. You can use dot notation to access the properties ofMdl. For example, you can specifyMdl.TrainingHistoryto get more information about the training history of the neural network model. Evaluate the performance of the classifier on the test set by...
This following example loads a dataset that maps anatomical measurementsxto body fat percentagest. A feedforward network with 10 neurons is created and trained on that data, then simulated. 1 2 3 4 5 6 [x,t] = bodyfat_dataset;
function [h, display_array] = displayData(X, example_width) %DISPLAYDATA Display 2D data in a nice grid % [h, display_array] = DISPLAYDATA(X, example_width) displays 2D data % stored in X in a nice grid. It returns the figure handle h and the ...
% This example showed how to train a deep neural network to classify digits % in images using Neural Network Toolbox(TM). The steps that have been % outlined can be applied to other similar problems, such as classifying % images of letters, or even small images of objects of a specific...
net= fitnet(hiddenSizes,trainFcn)returns a function fitting neural network with a hidden layer size ofhiddenSizesand training function, specified bytrainFcn. example Examples collapse all Construct and Train a Function Fitting Network Load the training data. ...