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NeuralWorks Predict (Predict) is a software package that allows trained neural networks to make complex decisions. NeuralWorks Predict includes many tools for choosing the best models, training the best models, predicting the best models, and exploring the relationships between one or more training datasets and the best models.
This software is built around the NeuralWorks Predict Engine (Predict), and it is designed to be a powerful, easy-to-use, extensible, and robust simulation, modeling, and prediction environment. NeuralWorks Predict provides many built-in tools for finding the best models. These tools include neural network architectures with built-in network selection, free-form neural network design and training, stochastic gradient descent, and other tools. NeuralWorks Predict also provides other built-in tools for performing EDA on training sets and testing the models.
The NeuralWorks Predict Engine (Predict) includes libraries for handling linear and nonlinear regression, curve fitting, and much more. NeuralWorks Predict also includes libraries for performing data analysis, including exploratory data analysis (EDA), and time-series and forecasting. NeuralWorks Predict also includes integration with various software packages to allow neural networks to be trained and used in various contexts.
NeuralWorks Professional II/PLUS includes an Instanetproprietary facility that supports quickly generating a neural network based on one of the standard neural network architectures found in the neural network literature. After a network is created, all parameters associated with it can be directly modified to fine tune the network based on the target domain. The available architectures include feed forward networks, recurrent neural networks, autoencoders, LSTM (long short term memory), temporal convolution networks, and convolutional networks. Unlike Professional II/PLUS, there are no performance-based methods to inhibit over-fitting, automatic optimization of hidden layer size and a facility for pruning hidden units, or an Explain facility to identify which network inputs most influence output. 81555fee3f1
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