Neural Network Toolbox

Functions by Class

Analysis Functions
errsurf	Error surface of a single input neuron.
maxlinlr	Maximum learning rate for a linear neuron.

Distance Functions
boxdist	Distance between two position vectors.
dist	Euclidean distance weight function.
linkdist	Link distance function.
mandist	Manhattan distance weight function.

Graphical Interface Function
nntool	Neural Network Tool - Graphical User Interface.

Layer Initialization Functions
initnw	Nguyen-Widrow layer initialization function.
initwb	By-weight-and-bias layer initialization function.

Learning Functions
learncon	Conscience bias learning function.
learngd	Gradient descent weight/bias learning function.
learngdm	Grad. descent w/momentum weight/bias learning function.
learnh	Hebb weight learning function.
learnhd	Hebb with decay weight learning rule.
learnis	Instar weight learning function.
learnk	Kohonen weight learning function.
learnlv1	LVQ1 weight learning function.
learnlv2	LVQ2 weight learning function.
learnos	Outstar weight learning function.
learnp	Perceptron weight and bias learning function.
learnpn	Normalized perceptron weight and bias learning function.
learnsom	Self-organizing map weight learning function.
learnwh	Widrow-Hoff weight and bias learning rule.

Line Search Functions
srchbac	One-dim. minimization using backtracking search.
srchbre	One-dim. interval location using Brent's method.
srchcha	One-dim. minimization using Charalambous' method.
srchgol	One-dim. minimization using Golden section search.
srchhyb	One-dim. minimization using Hybrid bisection/cubic search.

Net Input Derivative Functions
dnetprod	Product net input derivative function.
dnetsum	Sum net input derivative function.

Net Input Functions
netprod	Product net input function.
netsum	Sum net input function.

Network Initialization Functions
initlay	Layer-by-layer network initialization function.

Network Use Functions
adapt	Allow a neural network to adapt.
disp	Display a neural network's properties.
display	Display a neural network variable's name and properties.
init	Initialize a neural network.
sim	Simulate a neural network.
train	Train a neural network.

New Networks Functions
network	Create a custom neural network.
newc	Create a competitive layer.
newcf	Create a cascade-forward backpropagation network.
newelm	Create an Elman backpropagation network.
newff	Create a feed-forward backpropagation network.
newfftd	Create a feed-forward input-delay backprop network.
newgrnn	Design a generalized regression neural network.
newhop	Create a Hopfield recurrent network.
newlin	Create a linear layer.
newlind	Design a linear layer.
newlvq	Create a learning vector quantization network
newp	Create a perceptron.
newpnn	Design a probabilistic neural network.
newrb	Design a radial basis network.
newrbe	Design an exact radial basis network.
newsom	Create a self-organizing map.

Performance Derivative Functions
dmae	Mean absolute error performance derivative function.
dmse	Mean squared error performance derivatives function.
dmsereg	Mean squared error w/reg performance derivative function.
dsse	Sum squared error performance derivative function.

Performance Functions
mae	Mean absolute error performance function.
mse	Mean squared error performance function.
msereg	Mean squared error w/reg performance function.
sse	Sum squared error performance function.

Plotting Functions
hintonw	Hinton graph of weight matrix.
hintonwb	Hinton graph of weight matrix and bias vector.
plotbr	Plot network perf. for Bayesian regularization training.
plotep	Plot weight and bias position on error surface.
plotes	Plot error surface of single input neuron.
plotpc	Plot classification line on perceptron vector plot.
plotperf	Plot network performance.
plotpv	Plot perceptron input target vectors.
plotsom	Plot self-organizing map.
plotv	Plot vectors as lines from the origin.
plotvec	Plot vectors with different colors.

Pre and Post Processing Functions
postmnmx	Unnormalize data which has been norm. by prenmmx.
postreg	Postprocess network response w. linear regression analysis.
poststd	Unnormalize data which has been normalized by prestd.
premnmx	Normalize data for maximum of 1 and minimum of -1.
prepca	Principal component analysis on input data.
prestd	Normalize data for unity standard deviation and zero mean.
tramnmx	Transform data with precalculated minimum and max.
trapca	Transform data with PCA matrix computed by prepca.
trastd	Transform data with precalc. mean & standard deviation.

Simulink Support Function
gensim	Generate a Simulink block for neural network simulation.

Topology Functions
gridtop	Gridtop layer topology function.
hextop	Hexagonal layer topology function.
randtop	Random layer topology function.

Training Functions
trainb	Batch training with weight and bias learning rules.
trainbfg	BFGS quasi-Newton backpropagation.
trainbr	Bayesian regularization.
trainc	Cyclical order incremental update.
traincgb	Powell-Beale conjugate gradient backpropagation.
traincgf	Fletcher-Powell conjugate gradient backpropagation.
traincgp	Polak-Ribiere conjugate gradient backpropagation.
traingd	Gradient descent backpropagation.
traingda	Gradient descent with adaptive lr backpropagation.
traingdm	Gradient descent with momentum backpropagation.
traingdx	Gradient descent with momentum & adaptive lr backprop.
trainlm	Levenberg-Marquardt backpropagation.
trainoss	One step secant backpropagation.
trainr	Random order incremental update.
trainrp	Resilient backpropagation (Rprop).
trains	Sequential order incremental update.
trainscg	Scaled conjugate gradient backpropagation.

Transfer Derivative Functions
dhardlim	Hard limit transfer derivative function.
dhardlms	Symmetric hard limit transfer derivative function.
dlogsig	Log sigmoid transfer derivative function.
dposlin	Positive linear transfer derivative function.
dpurelin	Linear transfer derivative function.
dradbas	Radial basis transfer derivative function.
dsatlin	Saturating linear transfer derivative function.
dsatlins	Symmetric saturating linear transfer derivative function.
dtansig	Hyperbolic tangent sigmoid transfer derivative function.
dtribas	Triangular basis transfer derivative function.

Transfer Functions
compet	Competitive transfer function.
hardlim	Hard limit transfer function.
hardlims	Symmetric hard limit transfer function.
logsig	Log sigmoid transfer function.
poslin	Positive linear transfer function.
purelin	Hard limit transfer function.
radbas	Radial basis transfer function.
satlin	Saturating linear transfer function.
satlins	Symmetric saturating linear transfer function.
softmax	Softmax transfer function.
tansig	Hyperbolic tangent sigmoid transfer function.
tribas	Triangular basis transfer function.

Utility Functions
calca	Calculate network outputs and other signals.
calca1	Calculate network signals for one time step.
calce	Calculate layer errors.
calce1	Calculate layer errors for one time step.
calcgx	Calc. weight and bias perform. gradient as a single vector.
calcjejj	Calculate Jacobian performance vector.
calcjx	Calculate weight and bias performance Jacobian as a single matrix.
calcpd	Calculate delayed network inputs.
calcperf	Calculation network outputs, signals, and performance.
formx	Form bias and weights into single vector.
getx	Get all network weight and bias values as a single vector.
setx	Set all network weight and bias values with a single vector.

Vector Functions
cell2mat	Combine a cell array of matrices into one matrix.
combvec	Create all combinations of vectors.
con2seq	Converts concurrent vectors to sequential vectors.
concur	Create concurrent bias vectors.
ind2vec	Convert indices to vectors.
mat2cell	Break matrix up into cell array of matrices.
minmax	Ranges of matrix rows.
normc	Normalize columns of matrix.
normr	Normalize rows of matrix.
pnormc	Pseudo-normalize columns of matrix.
quant	Discretize value as multiples of a quantity.
seq2con	Convert sequential vectors to concurrent vectors.
sumsqr	Sum squared elements of matrix.
vec2ind	Convert vectors to indices.

Weight and Bias Initialization Functions
initcon	Conscience bias initialization function.
initzero	Zero weight and bias initialization function.
midpoint	Midpoint weight initialization function.
randnc	Normalized column weight initialization function.
randnr	Normalized row weight initialization function.
rands	Symmetric random weight/bias initialization function.
revert	Change ntwk wts. and biases to prev. initialization values.

Weight Derivative Function
ddotprod	Dot product weight derivative function.

Weight Functions
dist	Euclidean distance weight function.
dotprod	Dot product weight function.
mandist	Manhattan distance weight function.
negdist	Negative distance weight function.
normprod	Normalized dot product weight function.

Reference

Transfer Functions