Multiplying weight matrix of a trained neural network with a test vector - matlab

Question

I trained the perceptron neural network and obtained the weight matrix using matlab.
The dimension of the obtained weight matrix is <50x1 double>
Now while giving the test input, I have a <1x1 double> value, that need's to be tested.
If I multiply the weight matrix with the value, I get <50x1 double>. How can I set threshold for <50x1 double> value.
Is there any way to get around this problem ?
This is the code
tic
clc; clear all; close all;
%function [ w1, bias ] = percep1( x )
zzz = xlsread('D:\matlab\NN_FILES\train_mean.xlsx')
s = zzz;
learning_rate = 0.1; % go with the loop mohan
theta = 10000;
w1=0;
for j = 1:50
x=s(:,j);t=1; bias=0; stopp=1; count=0;
while stopp
yin = bias + (w1*x);
% activation function
if yin > theta
y = 1;
elseif yin < -theta
y = -1;
else
y = 0;
end
if (t ~= y)
% for i = 1 : 7
%if ( x(i) ~= 0 )
w1 = w1 + ( learning_rate * t * x);
%end
% end
bias = bias + ( learning_rate * t);
end
count = count + 1;
if t==y
stopp = 0;
count;
end
end
w(j,:) = w1;
b1(j) = bias;
e1(j) = count;
end
new_weights_2 = w(50,:)
yyy= xlsread('D:\matlab\NN_FILES\test_mean.xlsx');
st=yyy;
theta2 = 1.0e+04 * 1.2 ;
for j=1:20
x=st(:,j);
yin=(new_weights_2(1))*(x)
output(j) = yin;
if yin > theta2
y = 1;
elseif yin < -theta2
y = -1;
else y = 0;
end
y1(j)=y;
end
toc
Now I have used only the first value of the weight matrix inorder to satisfy the multiplication rule. Is there any way to multiply the weight matrix with the test input ?