Neural Networks: An Introductory Guide for Social ScientistsThis book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quantitative and modelling methods in widespread use. Methods are presented in an accessible style for readers who do not have a background in computer science. The book provides a history of neural network methods, a substantial review of the literature, detailed applications, coverage of the most common alternative models and examples of two leading software packages for neural network analysis. |
Contents
| 1 | |
2 The Terminology of Neural Network Analysis
| 23 |
3 The Backpropogation Model
| 37 |
4 Alternative Network Paradigms
| 59 |
5 Methodological Considerations
| 81 |
6 Neural Network Software
| 111 |
Other editions - View all
Neural Networks: An Introductory Guide for Social Scientists G David Garson No preview available - 1998 |
Neural Networks: An Introductory Guide for Social Scientists G David Garson No preview available - 1998 |
Common terms and phrases
activation function algorithm alternative application architecture artificial neural network backpropagation model bias classification clicking clusters compared neural complex computed connection weights cross-validation Data Viewer delta rule desired output dialog box forecasting GMDH gradient graph Grossberg Hebbian learning hidden layer neurons hidden nodes icon input data input layer input neuron input patterns input variables input vector iteration Kohonen layer learning rate linear mean square error menu method module Neural Connection neural models neural net neural network analysis neural network models neural network software neural weights NeuroShell nonlinear normalization number of hidden optimal outperform output layer output neuron Output Tool output variable overfitting packages parameters perceptron prediction problems radial basis function random regression selected self-organizing sigmoid function signal smoothing factor spreadsheet statistical supervised learning target term test set Text Output threshold training data set training patterns training set transfer function University Unpublished doctoral dissertation validation zero