Searching: "neural" in the DMelt project

Search results in document titles:

  1. Jython Jython Example: neural_net_analysis.py [100%] Artificial Intelligence/neural net Backpropogation neural network training/analysis
  2. Jython Jython Example: neural_net_bpnn.py [100%] Artificial Intelligence/neural net Back-Propagation Neural Network implemented in Python
  3. Java Java Example: joone_TimeSeries.java [100%] Artificial Intelligence/neural net Neural Network with Joone for TimeSeries forecasting
  4. Jython Jython Example: joone_XORMemory2.py [100%] Artificial Intelligence/neural net Training and veryfing a neural net using Joone
  5. Jython Jython Example: recurn_lstm1.py [100%] Artificial Intelligence/neural net Recurrent Neural Network (LSTM)
  6. Java Java Example: neural_net_4.java [100%] Artificial Intelligence/neural net Simple backpropagation neural net
  7. Jython Jython Example: neural_net_2.py [97%] Artificial Intelligence/neural net Backpropagation neural net (2): Create a neural network
  8. Jython Jython Example: neural_net_encog3.py [84%] Artificial Intelligence/neural net Backpropogation and predictions with Encog
  9. Jython Jython Example: neural_net_hbayes.py [84%] Artificial Intelligence/neural net Bayesian networks as GUI
  10. Jython Jython Example: neural_net_workbench.py [84%] Artificial Intelligence/neural net making a workbench
  11. Jython Jython Example: neural_net_symbols.py [80%] Artificial Intelligence/neural net Backpropagation neural net using text as input and output
  12. Jython Jython Example: neural_net_all.py [80%] Artificial Intelligence/neural net Backpropagation neural net (all steps). Create data and train.
  13. Jython Jython Example: neural_net_3.py [80%] Artificial Intelligence/neural net Backpropagation neural net (3): Read data and train it
  14. Jython Jython Example: joone_wine2.py [80%] Artificial Intelligence/neural net Joone. Forecast wine production using saved trained Neural Net (II).
  15. Java Java Example: joone_XOR.java [80%] Artificial Intelligence/neural net Neural network using Joone for solving XOR problem
  16. Java Java Example: joone_XORMemory.java [80%] Artificial Intelligence/neural net Demonstrate Neural Network using Joone with InMemory arrays
  17. Jython Jython Example: joone_XORMemory1.py [80%] Artificial Intelligence/neural net Building a neural net in memory for XOR problem using Joone
  18. Jython Jython Example: joone_timeseries.py [80%] Artificial Intelligence/neural net Forecasting time series using Joone neural network
  19. Jython Jython Example: neural_net_1.py [80%] Artificial Intelligence/neural net Backpropagation neural net (1): Create input data
  20. Java Java Example: neural_net_encog1.java [70%] Artificial Intelligence/neural net Read a CSV file and do beckpropogation with encog
  21. Jython Jython Example: neural_net_kohonen_map2D.py [70%] Artificial Intelligence/neural net Kohonen Feature Map in 2D (SOM)
  22. Jython Jython Example: neural_net_som.py [70%] Artificial Intelligence/neural net Self-Organizing Maps in Python
  23. Jython Jython Example: neural_net_bayesian.py [70%] Artificial Intelligence/neural net Bayesian networks using Encog Java
  24. Java Java Example: neural_net_bayesian.java [70%] Artificial Intelligence/neural net Bayesian networks using Encog Java
  25. Jython Jython Example: neural_net_kohonen_mapND.py [70%] Artificial Intelligence/neural net Kohonen Feature Map in N dimension (SOM)
  26. Jython Jython Example: neural_net_kohonen_map3D.py [70%] Artificial Intelligence/neural net Kohonen Feature Map in 3D (SOM)
  27. Jython Jython Example: neural_net_jayes1.py [70%] Artificial Intelligence/neural net Bayesian network using jayes Java library
  28. Jython Jython Example: neural_net_jayes3.py [70%] Artificial Intelligence/neural net Bayesian network using using the Jayes library
  29. Jython Jython Example: bayes_rain.py [70%] Artificial Intelligence/neural net Bayesian network for rain predictions
  30. Jython Jython Example: neural_net_encog1.py [70%] Artificial Intelligence/neural net Read a CSV file and do backpropogation with Encog
  31. Jython Jython Example: neural_net_jayes2.py [70%] Artificial Intelligence/neural net Bayesian network using using the Jayes library
  32. Java Java Example: neural_net_bayesian_k2.java [56%] Artificial Intelligence/neural net Bayesian network using Encog Java and simpel logic
  33. Jython Jython Example: neural_net_MLP.py [56%] Artificial Intelligence/neural net Multi-Layer Perceptron for the XOR problem using Neuroph (Jython)
  34. Jython Jython Example: neural_net_bsom1.py [56%] Artificial Intelligence/neural net Build a bayesian Self-Organizing Map. Example I
  35. Jython Jython Example: neural_net_encog2.py [56%] Artificial Intelligence/neural net Read a CSV file and do backpropogation with Encog, and then analyse it
  36. Java Java Example: neural_net_MLP.java [56%] Artificial Intelligence/neural net Multi-Layer Perceptron for the XOR problem using Neuroph (Java)
  37. Jython Jython Example: joone_wine1.py [56%] Artificial Intelligence/neural net Joone. Training NeuralNet using complex input data on wine production (I).
  38. Jython Jython Example: recurn_lstm2.py [56%] Artificial Intelligence/neural net Long Short-Term Memory Networks (LSTM) for text
  39. Jython Jython Example: recurn_lstm3.py [56%] Artificial Intelligence/neural net Long Short-Term Memory Networks (LSTM) example
  40. Jython Jython Example: neural_net_bayesian_k2.py [56%] Artificial Intelligence/neural net Bayesian networks using Encog Java and simple logic
  41. Java Java Example: neural_net_MLP_RT.java [56%] Artificial Intelligence/neural net Multi Layer Perceptron network using Resilient Propagation
  42. Jython Jython Example: neural_net_kohenmap1.py [56%] Artificial Intelligence/neural net Example of Kohonen Feature Map (selforganizing Map, SOM)
  43. Jython Jython Example: neural_net_bsom2.py [56%] Artificial Intelligence/neural net Build a bayesian Self-Organizing Map. Example II

Search results in document content:

  1. Jython Jython Example: neural_net_2.py [96%] ..neural_net_2.py # artificial intelli..
  2. Jython Jython Example: neural_net_hbayes.py [95%] ..neural_net_hbayes.py # artificial in..
  3. Java DMelt API DMelt API: org.neuroph.nnet package [93%]
  4. Java DMelt API DMelt API: org.encog.neural.art package [81%]
  5. Java DMelt API DMelt API: org.encog.neural package [76%]
  6. Java DMelt API DMelt API: org.encog.neural.rbf package [76%]
  7. Java DMelt API DMelt API: org.encog.neural.som package [76%]
  8. Java DMelt API DMelt API: org.joone.net package [76%]
  9. Java DMelt API DMelt API: org.neuroph.core package [76%]
  10. Jython Jython Example: neural_net_workbench.py [68%] ..neural_net_workbench.py # artificial..
  11. Java DMelt API DMelt API: org.neuroph.util.io.OutputAdapter interface [67%] ..adapter interface for writing neural network outputs to some desti..
  12. Java DMelt API DMelt API: recunn package [67%]
  13. Jython Jython Example: neural_net_3.py [66%] ..neural_net_3.py # artificial intelli..
  14. Java DMelt API DMelt API: org.neuroph.util.io package [66%]
  15. Java DMelt API DMelt API: org.encog.neural.art.ART class [64%] ..org.encog.neural.art class art java.lang.objec..
  16. Java Java Example: neural_net_MLP.java [60%] ..neural_net_mlp.java // artificial in..
  17. Jython Jython Example: neural_net_encog1.py [58%] ..neural_net_encog1.py # artificial in..
  18. Java DMelt API DMelt API: org.encog.neural.bam package [57%]
  19. Java DMelt API DMelt API: org.encog.neural.cpn package [57%]
  20. Java DMelt API DMelt API: org.encog.neural.networks.structure.NetworkCODEC class [57%] ..org.encog.neural.networks.structure class netw..
  21. Java DMelt API DMelt API: org.joone.script package [57%]
  22. Java DMelt API DMelt API: org.neuroph.util.io.InputAdapter interface [57%] ..adapter interface for reading neural network inputs from various d..
  23. Jython Jython Example: neural_net_bsom1.py [54%] ..neural_net_bsom1.py # artificial int..
  24. Java DMelt API DMelt API: org.encog.neural.pnn package [54%]
  25. Java DMelt API DMelt API: org.neuroph.core.learning.LearningRule class [54%] ..rializable base class for all neural network learning algorithms. ..
  26. Jython Jython Example: neural_net_encog3.py [53%] ..neural_net_encog3.py # artificial in..
  27. Java DMelt API DMelt API: org.neuroph.util package [53%]
  28. Java DMelt API DMelt API: org.encog.neural.pattern.ElmanPattern class [53%] ..org.encog.neural.pattern class elmanpattern ja..
  29. Java DMelt API DMelt API: org.encog.neural.pattern.JordanPattern class [53%] ..org.encog.neural.pattern class jordanpattern j..
  30. Wiki Wiki: http://jwork.org/wiki/DMelt:AI/1 Backpropagation Neural Net [52%] ..ed to one of the most popular neural net: backpropagation. read ba..
  31. Java Java Example: neural_net_encog1.java [50%] ..neural_net_encog1.java // artificial..
  32. Wiki Wiki: http://jwork.org/wiki/DMelt:AI/2 Bayesian Neural Net [50%] ..ction devoted to the bayesian neural network (also known as bayesi..
  33. Wiki Wiki: http://jwork.org/wiki/DMelt:AI/4 Recurrent NN and LSTM [50%] ..== recurrent neural networks (rnn) and lstm == re..
  34. Jython Jython Example: neural_net_1.py [50%] ..neural_net_1.py # artificial intelli..
  35. Java DMelt API DMelt API: jhpro.nnet package [50%]
  36. Jython Jython Example: neural_net_all.py [48%] ..neural_net_all.py # artificial intel..
  37. Java DMelt API DMelt API: org.encog.Test class [48%] ..entially the "hello world" of neural network programming. this exa..
  38. Java DMelt API DMelt API: org.encog.mathutil.matrices.hessian.ComputeHessian interface [48%] ..the second derivatives of the neural network. this is a square mat..
  39. Java DMelt API DMelt API: org.encog.ml.importance.NeuralFeatureImportanceCalc class [48%] ..org.encog.ml.importance class neuralfeatureimportancecalc java.lan..
  40. Java DMelt API DMelt API: org.joone.engine.NeuralNetEvent class [48%] ..org.joone.engine class neuralnetevent java.lang.object java..
  41. Java DMelt API DMelt API: org.neuroph.contrib package [48%]
  42. Java DMelt API DMelt API: org.neuroph.samples package [48%]
  43. Java DMelt API DMelt API: org.neuroph.util.io.IOHelper class [48%] ..s class is helper for feeding neural network with data using some ..
  44. Java DMelt API DMelt API: org.neuroph.util.io.InputStreamAdapter class [48%] ..adapter interface for reading neural network inputs from input str..
  45. Java DMelt API DMelt API: org.neuroph.util.io.JDBCInputAdapter class [48%] ..adapter interface for reading neural network inputs from database...
  46. Jython Jython Example: neural_net_bsom2.py [47%] ..neural_net_bsom2.py # artificial int..
  47. Jython Jython Example: neural_net_encog2.py [47%] ..neural_net_encog2.py # artificial in..
  48. Java Java Example: neural_net_MLP_RT.java [47%] ..neural_net_mlp_rt.java // artificial..
  49. Java DMelt API DMelt API: org.encog.neural.pattern.FeedForwardPattern class [47%] ..org.encog.neural.pattern class feedforwardpatt..
  50. Java DMelt API DMelt API: org.encog.neural.pattern.NeuralNetworkPattern interface [47%] ..org.encog.neural.pattern interface neuralnetwo..
  51. Java DMelt API DMelt API: org.neuroph.util.NeuralNetworkCODEC class [47%] ..org.neuroph.util class neuralnetworkcodec java.lang.object ..
  52. Java DMelt API DMelt API: org.encog.ml.factory.MLMethodFactory class [45%] ..tring constant for a bayesian neural network. static string type_e..
  53. Java DMelt API DMelt API: org.joone.helpers.structure.NeuralNetMatrix class [45%] ..joone.helpers.structure class neuralnetmatrix java.lang.object org..
  54. Java DMelt API DMelt API: org.joone.helpers.factory.JooneTools class [44%] ..ss to build/train/interrogate neural networks. by using this class..
  55. Java DMelt API DMelt API: org.encog.neural.networks.NeuralDataMapping class [43%] ..org.encog.neural.networks class neuraldatamapp..
  56. Java DMelt API DMelt API: jhplot.HNeuralNet class [41%] ..jhplot class hneuralnet java.lang.object jhplot.hn..
  57. Jython Jython Example: neural_net_MLP.py [41%] ..neural_net_mlp.py # artificial intel..
  58. Java DMelt API DMelt API: org.neuroph.contrib.samples.stockmarket.StockTrainingSetImport class [41%] ..se stock market interface for neural network. provides method to i..

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