MLP_SEQ(1)

NAME
mlp_seq - Multi-Layer Perceptron Sequence Classifier

SYNOPSIS
A program for training and testing a multi-layer perceptron sequence classifier with up to 8 hidden layers.

mlp_seq [ -nodes n,n[,n]... ] [ -alpha x ] [ -etta x ]
[ -use_etta_list -etta_list x[,x]... ]
[ -etta_change_type n ] [ -etta_nepochs x ]
[ -epsilon x ] [ -kappa x ] [ -decay x ]
[ -tolerance x ] [ -hfunction n ] [ -ofunction n ]
[ -sigmoid_param x ] [ -use_sig_param_list
-sig_param_list x[,x]... ] [ -cost_func n
-cost_param x ] [ -epochs n ] [ -batch n,n,n ]
[ -init_mag x ] [ -clip_floor x ] [ -sequence_options ]

EXAMPLE
mlp_seq -epochs 10 -train -create -nodes 13,3,2 \
-pathdata $LNKHOME/data/seq -flist gender.train \
-fdescribe gender.defaults -fparam mlp_seq.param

mlp_seq -fparam mlp_seq.param -pathdata $LNKHOME/data/seq \
-flist gender.test -fdescribe gender.defaults -nodes 13,3,2

DESCRIPTION
This multi-layer perceptron sequence classifier works in the same way as the mlp classifier. The differences are that this program works on sequence classification data and that some arguments are unavailable.

OPTIONS
The algorithm specific options are those available for the program mlp with these exeptions:

    -clip_floor x
        Frame outputs are clipped to be no smaller than x before multiplying them into the sequence output result.

-sequence_options
    mlp_seq accepts the general sequence arguments described on the sequence(1) manual page.

SEE ALSO
sequence(1), mlp(1)

HISTORY
First written 24 June 1994 by Linda Kukolich

BUGS
Send bug reports to Linda Kukolich (kukolich@sst.ll.mit.edu)