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R: Plotting the non-negative neural network
...neural network Description This function plots the non-negative neural network Usage CoOL_3_plot_neural_network( model, names, arrow_size = NA, title = "Model connection weights and intercepts"...
/CRAN/refmans/CoOL/html/CoOL_3_plot_neural_network.html
 cran-help  matching: neural, neural and neural


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R: Neural Network implementation
Neural_Network-class {DamiaNN} R Documentation Neural Network implementation Description Neural Network implementation [Package DamiaNN...
/CRAN/refmans/DamiaNN/html/Neural_Network-class.html
 cran-help  matching: neural, neural and neural


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R: Initiates a non-negative neural network
...neural network Description This function initiates a non-negative neural network. The one-hidden layer non-negative neural network is designed to resemble a DAG with hidden synergistic components.
/CRAN/refmans/CoOL/html/CoOL_1_initiate_neural_network.html
 cran-help  matching: neural, neural and neural


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R: Prepare for visualization of a neural network classification...
...a neural net that was modeled on the training data, using the output of vcr.neural.train on the training data. Usage vcr.neural.newdata(Xnew, ynew = NULL, probs, vcr.neural.train.out) Arguments Xnew...
/CRAN/refmans/classmap/html/vcr.neural.newdata.html
 cran-help  matching: neural, neural and neural


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R: Prepare for visualization of a neural network classification...
...neural network. The representation of the data in a given layer (e.g. the final layer before applying the softmax function) then serves as the argument X to vcr.neural.train. Usage vcr.neural.train(X...
/CRAN/refmans/classmap/html/vcr.neural.train.html
 cran-help  matching: neural, neural and neural


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R: Double Machine Learning based on neural network
dml_neural_network {DMLLZU} R Documentation Double Machine Learning based on neural network Description Each node represents a specific output function, known as the excitation function.It...
/CRAN/refmans/DMLLZU/html/dml_neural_network.html
 cran-help  matching: neural, neural and neural


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R: Training the non-negative neural network
...neural network Description This function trains the non-negative neural network. Fitting the model is done in a step-wise procedure one individual at a time, where the model estimates individual's...
/CRAN/refmans/CoOL/html/CoOL_2_train_neural_network.html
 cran-help  matching: neural, neural and neural


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R: Training of Neural Networks
...method for generalized weights neuralnet Training of neural networks plot.nn Plot method for neural networks predict.nn Neural network prediction prediction Summarizes the output of the neural network...
/CRAN/refmans/neuralnet/html/00Index.html
 cran-help  matching: neural and neural


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R: Validation Tools for Artificial Neural Networks
...ann Predict new examples using a trained neural network. validann Validate Artificial Neural Networks. validann.ann Validate Artificial Neural Networks. validann.default Validate Artificial Neural ...
/CRAN/refmans/validann/html/00Index.html
 cran-help  matching: neural and neural


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R: Feed-Forward Neural Networks and Multinomial Log-Linear Models
...ind Generates Class Indicator Matrix from a Factor coef.multinom Fit Multinomial Log-linear Models coef.nnet Fit Neural Networks drop1.multinom Fit Multinomial Log-linear Models eval.nn Fit Neural...
/CRAN/refmans/nnet/html/00Index.html
 cran-help  matching: neural and neural


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R: Tun: The function that returns tunneling neural networks
...default it is assumed to be 1. Value A tunnel neural network of depth n. A tunneling neural network is defined as the neural network \mathsf{Aff}_{1,0} for n=1, the neural network \mathsf{Id}_1 for n...
/CRAN/refmans/nnR/html/Tun.html
 cran-help  matching: neural and neural


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R: Forward pass of the Neural ODE network
...A keras neural network that defines the Neural ODE. inputs Matrix or vector inputs to the neural network. tsteps A vector of each time step upon which the Neural ODE is solved to get to the final...
/CRAN/refmans/tfNeuralODE/html/forward.html
 cran-help  matching: neural and neural


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R: Functional Neural Networks
Help Pages daily Classic Canadian weather data set. fnn.cv Functional Neural Networks with Cross-validation fnn.fit Fitting Functional Neural Networks fnn.fnc Output of Estimated Functional Weights...
/CRAN/refmans/FuncNN/html/00Index.html
 cran-help  matching: neural and neural


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R: Time Series Forecasting with Neural Networks
...forecasting elm.fast ELM (fast) neural network. elm.thief ELM network for THieF. forecast.elm Forecast using ELM neural network. forecast.mlp Forecast using MLP neural network. linscale Apply minmax...
/CRAN/refmans/nnfor/html/00Index.html
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R: Recurrent Neural Network
...Neural Network Documentation for package ‘rnn’ version 1.9.0 DESCRIPTION file. User guides, package vignettes and other documentation. Package NEWS. Help Pages b2i Binary to Integer backprop_gru...
/CRAN/refmans/rnn/html/00Index.html
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R: Visualization and Analysis Tools for Neural Networks
...and Analysis Tools for Neural Networks Documentation for package ‘NeuralNetTools’ version 1.5.3 DESCRIPTION file. User guides, package vignettes and other documentation. Help Pages bias_lines Plot...
/CRAN/refmans/NeuralNetTools/html/00Index.html
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R: Returns list of parameters the neural network model currently...
...citodnn {cito} R Documentation Returns list of parameters the neural network model currently has in use Description Returns list of parameters the neural network model currently has in use Usage ## S3...
/CRAN/refmans/cito/html/coef.citodnn.html
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R: Cointegration Based Time Delay Neural Network Model
...Neural Network Model hybrid model allows the researcher to make use of the information extracted by the cointegrating vector as an input in the neural network model. Usage ECTTDNN(data,type,t,lag_ann...
/CRAN/refmans/ECTTDNN/html/ECTTDNN.html
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R: Generative Neural Networks
...GNN model Slots to raw or keras Objects catch Catching Results, Warnings and Errors Simultaneously CvM Loss Function dim.gnn_GNN Basic Functions and Methods ffGNN Feedforward for Generative Neural...
/CRAN/refmans/gnn/html/00Index.html
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R: Backward pass of the Neural ODE
...Neural ODE Usage backward(model, tsteps, outputs, output_gradients = NULL) Arguments model A keras neural network that defines the Neural ODE. tsteps A vector of each time step upon which the Neural...
/CRAN/refmans/tfNeuralODE/html/backward.html
 cran-help  matching: neural and neural


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