Neural networks with MATLAB
by L., Marvin
A collection of algorithms, functions and apps to create, train, visualize, and simulate neural networks. Functions include classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control.
Read More ↓Title Statements
- Full title :Neural networks with MATLAB / Marvin L.
Summary
A collection of algorithms, functions and apps to create, train, visualize, and simulate neural networks. Functions include classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control.
Read More ↓Edition Statements
- Publication Date:2017.
Publication Statements
- Publisher(s):publisher not identified
- Place of Publication:San Bernardino, CA
- Language:eng
- Publication Date:2017.
The Physical Object
- Description:1 volume (various pagings) : : illustrations ; : 28 cm
Edition Identifiers
- ISBN:9781539701958, 1539701956
- oclc:ocn981460451
- LC Classification:QA76.87
Table of Contents
Network objects, data, and training styles -- Multilayer networks and backpropagation training -- Dynamic netowkrs -- Control systems -- Radial bias networks -- Self-organizing learning vector quantization networks -- Adaptive filters and adaptive training -- Advanced topics -- Historical networks -- Network object reference -- Mathematical notation -- Blocks for the simulink environment -- Code notes.
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