Neural Network toolbox $toolbox/matlab/icons/matlabicon.gif

The Neural Network Toolbox extends MATLAB with tools for designing, implementing, visualizing, and simulating neural networks. Neural networks are invaluable for applications where formal analysis would be difficult or impossible, such as pattern recognition and nonlinear system identification and control. The Neural Network Toolbox provides comprehensive support for many proven network paradigms, as well as graphical user interfaces (GUIs) that enable you to design and manage your networks. The modular, open, and extensible design of the toolbox simplifies the creation of customized functions and networks.

Neurons Simple Neuron and Transfer Functions M-GUI nnd2n1 Neuron with Vector Input nnd2n2 M-GUI Perceptrons Decision Boundaries nnd4db M-GUI Perceptron Learning Rule nnd4pr M-GUI Classification with a 2-Input Perceptron demop1 M-file Outlier Input Vectors demop4 M-file Normalized Perceptron Rule demop5 M-file Linearly Non-separable Vectors demop6 M-file Linear Networks Pattern Association Showing Error Surface demolin1 M-file Training a Linear Neuron demolin2 M-file Linear Classification System nnd10lc M-GUI Adaptive Noise Cancellation demolin8 M-file Adaptive Noise Cancellation in Airplane nnd10nc M-GUI Linear Fit of Nonlinear Problem demolin4 M-file Underdetermined Problem demolin5 M-file Linearly Dependent Problem demolin6 M-file Too Large a Learning Rate demolin7 M-file Backpropagation Generalization nnd11gn M-GUI Steepest Descent Backpropagation nnd12sd1 M-GUI Momentum Backpropagation nnd12mo M-GUI Variable Learning Rate Backpropagation nnd12vl M-GUI Conjugate Gradient Backpropagation nnd12cg M-GUI Marquardt-Levenberg Backpropagation nnd12m M-GUI Radial Basis Networks Radial Basis Approximation demorb1 M-file Radial Basis Underlapping Neurons demorb3 M-file Radial Basis Overlapping Neurons demorb4 M-file GRNN Function Approximation demogrn1 M-file PNN Classification demopnn1 M-file Self-organizing Networks Competitive Learning democ1 M-file One-Dimensional Self-organizing Map demosm1 M-file Two-Dimensional Self-organizing Map demosm2 M-file LVQ Networks Learning Vector Quantization demolvq1 M-file Hopfield Networks Hopfield Two Neuron Design demohop1 M-file Hopfield Unstable Equilibria demohop2 M-file Hopfield Three Neuron Design demohop3 M-file Hopfield Spurious Stable Points demohop4 M-file Application Examples Linear Design (command-line) other applin1 Adaptive Linear Prediction (command-line) other applin2 Elman Amplitude Detection (command-line) other appelm1 Character Recognition (command-line) other appcr1 Cancer Detection M-file cancerdetectdemonnet Bioinformatics Crab Classification M-file crabclassify Gene Expression Analysis M-file yeastdemonnet Bioinformatics Control Systems Predictive Control of a Tank Reactor model predcstr Simulink NARMA-L2 Control of a Magnet Levitation System model narmamaglev Simulink Reference Control of a Robot Arm model mrefrobotarm Simulink Other Demos Other Neural Network Design Textbook Demos M-GUI nnd