Partition and Pattern Matching Methods

Question

I am new to artificial neural networks.

I am interested in such an application:

I have a significantly large set of objects. Each object has six properties, denoted by P1 - P6. Each property has a value, which is a symbolic value. In other words, in my example, P1 - P6 can have a value from the set {A, B, C, D, E, F}. They are not numeric. (Suppose A, B, C, D, E, F are colors, then you will understand my idea.)

Now I have another property R. Suppose that

R = {G1, G2, G3, G4, G5}

I need to train the system for a large set of P1 - P6 and the corresponding R. Now I want to do the following.

• I have an object and I know the values ​​from P1 to P6. I need to find R (the group the object belongs to.)

• R, P1 – P6. , R = G2 P1 – P6.

:

• //, , 1 2, ?

• / ? //?

Answer 1

( ), . , .

, (, , 1 2). , , P1..P6 <= > R, . AI , , A..E P1..P6.

, Perceptron. , . P1a..P1e, P2a..P2e,... R1..R5. P1..P6 R1..R5 .

, Business Intelligence Visual Studio, . ( C/++), .

Answer 2

, . , k-NN (k ) . , R, P1-P6. .

, , , . , , , - k-mean Clustering. ( R) , k-, , (, R), .

, - (, ), , .

. Orange, Python, ( , Python C/++). Java, Weka, . , Weka , Java, .

, , , , . , , ( ), (Python Orange Java Weka) .

Orange Weka, , , , , , , , , .

Answer 3

. , Apache Mahout, . - TimBL, .