This programming assignment is to simulate Backpropagation algorithm to solve the following non linear sepearable problem in JAVA.

Following screenshots have question . I want to implement that assignment in java. Mainly NO PLAGIARISM.

This programming assignment is to simulate Backpropagation algorithm to solve the following
non-linear separable problem. The cube is given. Eight corners of this cube are classified into two
groups. Corners of A, D, F, and G belong to one group and the remaining corners belong to the
other group. Train your 3-layer neural network to classify this problem. You will need 3 input
units in the input layer. One out put unit is enough to solve this problem, but if you want to have
more than one output unit for your exercise, that is fine. You can have any number of hidden
units.
G (0,1,1)
H (1,1,1)
E (0,0,1)
F(1,0,1
C (0,1,0)
D (1,1,0)
A (0,0,0)
B (1,0,0)
The given problem can be displayed as below too.
ادارات و داوای
Input data
Target
attributel attribute2attribute3 output
0
0
0
0
1
0
0
1
0
1
0
1
1
1
0
0
0
0
1
1
1
0
1
0
0
1
1
0
1
1
1
1
(The Extra Point problent)
Check the Congressional Voting Records Data Set in the
UCI Machine Learning Repository. This data set includes votes for each of the U.S. House of
Representatives Congressmen on the 16 attributes. There are 435 data (267 for the democrat, 168
for the republican). Make to have 178 as training data and 89 as testing data for the democrats.
Make 112 as training data and 56 as testing data for the republican.