Neural Network Modeling Training Course and Workshop in Bangalore, Mysore, Chennai, Hyderabad, Pune, Mumbai, Delhi, Noida, Gurgaon, Kolkata

This Neural Network Modeling training course helps you understand and apply two popular artificial neural network algorithms, multi-layer perceptrons and radial basis functions. Both the theoretical and practical issues of fitting neural networks are covered. Specifically, this course teaches you how to choose an appropriate neural network architecture, how to determine the relevant training method, and how to construct custom neural networks using the NEURAL procedure.

By attending Neural Network Modeling workshop, delegates will learn to:

Construct multilayer perceptron and radial basis function neural networks
Choose an appropriate network architecture and training method
Avoid overfitting neural networks
Perform autoregressive time series analysis using neural networks
Interpret neural network models.

Understanding of basic statistical concepts
Be familiar with SAS Enterprise Miner software

The Neural Network Modeling class is ideal for:

Data analysts and modelers with a strong mathematical background

Introduction to Neural Networks

Using the NLIN procedure for nonlinear regression
Using the REG procedure for polynomial regression
Using the GPLOT procedure for nonparametric regression

Network Architecture

Constructing multilayer perceptrons
Constructing normalized radial basis function networks

Learning

Statistical theory of error functions
Benefits and shortcomings of numerical optimization methods
Avoiding inferior local minima

The NEURAL Procedure

Input selection using weight interpretation
Input selection using sensitivity-based pruning

Augmented Networks

Defining and illustrating the use of a counterpropagation network
Defining a generalized additive neural network (GANN)
Illustrating the use of the GANN paradigm and compare its performance against other methods
Defining and illustrating how a surrogate model can be used to understand a neural network's predictions

The AutoNeural Node

Comparing autoneural architectures

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Neural Network - Modeling