Searching: "network" 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: neural_net_jayes1.py [100%] Artificial Intelligence/neural net Bayesian network using jayes Java library
  5. Jython Jython Example: neural_net_jayes3.py [100%] Artificial Intelligence/neural net Bayesian network using using the Jayes library
  6. Jython Jython Example: bayes_rain.py [100%] Artificial Intelligence/neural net Bayesian network for rain predictions
  7. Jython Jython Example: neural_net_jayes2.py [100%] Artificial Intelligence/neural net Bayesian network using using the Jayes library
  8. Java Java Example: neural_net_bayesian_k2.java [79%] Artificial Intelligence/neural net Bayesian network using Encog Java and simpel logic
  9. Jython Jython Example: neural_net_2.py [79%] Artificial Intelligence/neural net Backpropagation neural net (2): Create a neural network
  10. Java Java Example: joone_XOR.java [79%] Artificial Intelligence/neural net Neural network using Joone for solving XOR problem
  11. Java Java Example: joone_XORMemory.java [79%] Artificial Intelligence/neural net Demonstrate Neural Network using Joone with InMemory arrays
  12. Jython Jython Example: joone_timeseries.py [79%] Artificial Intelligence/neural net Forecasting time series using Joone neural network
  13. Java Java Example: neural_net_MLP_RT.java [79%] Artificial Intelligence/neural net Multi Layer Perceptron network using Resilient Propagation

Search results in document content:

  1. Java API Java API: org.encog.neural.rbf package [100%]
  2. Java API Java API: org.apache.commons.math3.ml.neuralnet.UpdateAction interface [86%] ..n describes how to update the network in response to a training sam..
  3. Java API Java API: org.encog.neural.networks.structure.NetworkCODEC class [84%] ..org.encog.neural.networks.structure class networkcodec..
  4. Java API Java API: org.neuroph.util.NeuralNetworkCODEC class [81%] ..org.neuroph.util class neuralnetworkcodec java.lang.object org.neu..
  5. Java API Java API: org.neuroph.nnet package [79%]
  6. Java API Java API: org.joone.net package [79%]
  7. Java API Java API: org.encog.neural.networks.training.cross.NetworkFold class [76%] ..org.encog.neural.networks.training.cross class network..
  8. Wiki Wiki: http://jwork.org/wiki/DMelt:AI/2 Bayesian Neural Net [75%] ..= bayesian network = this section devoted to the..
  9. Java API Java API: org.jhotdraw.net package [75%]
  10. Java API Java API: org.apache.commons.math3.ml.neuralnet package [70%] ..reinitializerfactory maputils network network.neuronidentifiercompa..
  11. Java API Java API: org.encog.neural package [70%]
  12. Jython Jython example: market_predict_train.py [69%] .."yahoofinance.egb") ) # train network network = encogutility.simple..
  13. Java API Java API: org.encog.ml.bayesian.bif.BIFUtil class [69%] ..ss to read and write bayesian networks in bif format. http://www.he..
  14. Java API Java API: org.encog.neural.networks.structure.NeuralStructure class [67%] ..org.encog.neural.networks.structure class neuralstruct..
  15. Java API Java API: org.neuroph.util.plugins.PluginBase class [66%] ..ble base class for all neural network plugins. see also: serialized..
  16. Java API Java API: org.encog.neural.networks.structure.AnalyzeNetwork class [63%] ..org.encog.neural.networks.structure class analyzenetwo..
  17. Java API Java API: org.neuroph.util.io package [63%]
  18. Java API Java API: org.neuroph.util.io.OutputAdapter interface [61%] .. interface for writing neural network outputs to some destination. ..
  19. Java API Java API: org.apache.commons.math3.ml.neuralnet.oned.NeuronString class [61%] ..mplements serializable neural network with the topology of a one-di..
  20. Java API Java API: org.encog.neural.networks.ContainsFlat interface [61%] ..org.encog.neural.networks interface containsflat all s..
  21. Java API Java API: org.joone.samples.engine.xor package [59%] ..it) creates a one-dimensional network: each neuron not located on t..
  22. Java API Java API: org.joone.engine.listeners.ErrorBasedTerminator class [58%] ..extends monitorplugin stops a network whenever the training error o..
  23. Java API Java API: org.encog.ml.bayesian.parse.ParseProbability class [58%] ..ability strings for the bayes networks. constructor summary constru..
  24. Java API Java API: org.neuroph.util.NeuralNetworkFactory class [57%] ..org.neuroph.util class neuralnetworkfactory java.lang.object org.n..
  25. Java API Java API: org.encog.neural.art.ART class [56%] ..ory (art) is a form of neural network developed by stephen grossber..
  26. Java API Java API: org.neuroph.contrib.matrixmlp.MatrixMultiLayerPerceptron class [55%] ..object org.neuroph.core.neuralnetwork org.neuroph.contrib.matrixmlp..
  27. Java API Java API: org.neuroph.core.NeuralNetwork class [55%] ..org.neuroph.core class neuralnetwork java...
  28. Java API Java API: org.encog.ml.bayesian.training.search.k2.SearchK2 class [55%] ..ion double calculateg(bayesiannetwork network, bayesianevent even..
  29. Jython Jython example: neural_net_encog3.py [54%] ..o construct an encog neural # network to predict the output from th..
  30. Jython Jython example: neural_net_encog1.py [54%] ..y the "hello world" of neural network * programming. this example ..
  31. Java API Java API: org.joone.engine.NetErrorManager class [54%] ..he training or running of the network. joone classes should constru..
  32. Java API Java API: org.neuroph.samples package [54%]
  33. Java API Java API: org.neuroph.nnet.learning.SimulatedAnnealingLearning class [53%] ..ng rule for supervised neural networks. it is based on the generic ..
  34. Jython Jython example: neural_net_encog2.py [53%] ..y the "hello world" of neural network * programming. this example..
  35. Java API Java API: org.encog.neural.networks.training.concurrent.jobs.TrainingJob class [53%] ..org.encog.neural.networks.training.concurrent.jobs cla..
  36. Java API Java API: org.encog.util.benchmark.Evaluate class [53%] ..luate the training time for a network. field summary fields..
  37. Java API Java API: org.joone.script package [53%]
  38. Java API Java API: org.neuroph.core.learning.error.ErrorFunction interface [53%] ..terface for calculating total network error during the learning. cu..
  39. Java API Java API: org.neuroph.util.io.InputAdapter interface [53%] .. interface for reading neural network inputs from various data sour..
  40. Java API Java API: org.encog.neural.prune.PruneSelective class [51%] ..extends object prune a neural network selectively. this class allow..
  41. Java API Java API: org.encog.neural.pattern.JordanPattern class [51%] ..implemented interfaces: neuralnetworkpattern public class jordanpat..
  42. Java API Java API: org.encog.neural.prune.PruneIncremental class [50%] ..the hidden layers of a neural network. it can accept a pattern, whi..
  43. Java Java example: neural_net_encog1.java [50%] ..aset; import org.encog.neural.networks.basicnetwork; import org.enc..
  44. Java Java example: neural_net_MLP.java [50%] ...out.println("training neural network..."); mymlperceptron...
  45. Java API Java API: org.encog.neural.networks.layers.Layer interface [50%] ..org.encog.neural.networks.layers interface layer all k..
  46. Java API Java API: org.neuroph.core.learning.LearningRule class [50%] ..ble base class for all neural network learning algorithms. it provi..
  47. Java API Java API: org.encog.neural.bam.BAM class [49%] ..ory (bam) is a type of neural network developed by bart kosko in 19..
  48. Java API Java API: org.neuroph.util.io.IOHelper class [49%] .. is helper for feeding neural network with data using some inputada..
  49. Java API Java API: org.jgrapht.alg.flow.EdmondsKarpMFImpl class [48%] ..flowalgorithmbase a flow network is a directed graph where eac..
  50. Java API Java API: org.neuroph.nnet.Hopfield class [46%] ..object org.neuroph.core.neuralnetwork org.neuroph.nnet.hopfield all..

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