This is Vietnamese Mathematical Chess—
http://cotoan.vnvista.com/rules-en.html
The board contains 11 ranks and 9 files. Each side has ten pieces, numbered from 0 to 9. The board initial layout is as displayed in the picture below—

Movements: Each piece (with the exception of 0 piece) can move in any direction (vertically, horizontally, or diagonally − forward or backward), the max number of squares a piece can move depends on the number of the piece.
For example, the piece with number 2 can move 1 or 2 empty squares, while the piece with number 9 can move from 1 to 9 empty squares—

Capture: To capture the opponent's piece, a player must have two pieces one next to another. Then use the numbers of the two pieces to make calculations. Allowed calculations are + (addition), - (subtraction), × (multiplication), ÷ (division), and modulus (division reminder).

Any results of the calculations can be used to apply to the capture. If a result contains two numbers, then remove the tens number (for example 8×7=56=>use 6). Use a suitable result to make the capture by taking the piece behind to capture the opponent's piece.

For example, one player have an 8 piece and 5 piece next to each other vertically. Calculation results from these 2 pieces are:
8+5=13 (take 3)
8-5=3
8×5=40 (take 0 - which is useless anyway)
8÷5=1 with 3 as remainder (take both 1 and 3)
The player can then use the 8 piece (the piece behind) to capture an opponent piece which is 1 or 3 squares away from the 5 piece (the piece in front), in the same the direction that 8->5 is.

The image below shows how the 1 piece and 2 piece standing next to each other can capture the opponent's pieces. If an opponent's piece is on one of those X squares, the player can capture it. The calculations that the capture is based on are: 1+2=3, 1×2=2, 1÷2=0 with 1 as remainder—

The 0 piece (the one with zero number) is like the King in Chess. When it is captured, the player loses the game.

Besides capturing the 0 piece, players can agree at a certain point to end a match (if the 0 piece is not captured before that point is reached). The point that one player gains is calculated by summing the numbers of the opponent's pieces that have been captured.

For example, if the players agree to set the match's ending point to 10. Then when a player captures the 5 and 6 piece, he wins the game (5+6=11 which is greater than 10). Or if a player captures the 0 piece then he also wins.

We all know that the object of Chess is to checkmate the opponent's King, the object of Go is to surround a larger total area of the board with one's stones than the opponent (count by scores). In Mathematical Chess, I think we must balance Chess and Go, the game−complexity is really high.

I want to evaluate every mathematical chess piece value. I'm studying Machine Learning, how can I continue with my idea? I need your help. This Chess-variants deserves much more research effort.

This is Vietnamese Mathematical Chess—
http://cotoan.vnvista.com/rules-en.html
The board contains 11 ranks and 9 files. Each side has ten pieces, numbered from 0 to 9. The board initial layout is as displayed in the picture below—

Movements: Each piece (with the exception of 0 piece) can move in any direction (vertically, horizontally, or diagonally − forward or backward), the max number of squares a piece can move depends on the number of the piece.
For example, the piece with number 2 can move 1 or 2 empty squares, while the piece with number 9 can move from 1 to 9 empty squares—

Capture: To capture the opponent's piece, a player must have two pieces one next to another. Then use the numbers of the two pieces to make calculations. Allowed calculations are + (addition), - (subtraction), × (multiplication), ÷ (division), and modulus (division reminder).

Any results of the calculations can be used to apply to the capture. If a result contains two numbers, then remove the tens number (for example 8×7=56=>use 6). Use a suitable result to make the capture by taking the piece behind to capture the opponent's piece.

For example, one player have an 8 piece and 5 piece next to each other vertically. Calculation results from these 2 pieces are:
8+5=13 (take 3)
8-5=3
8×5=40 (take 0 - which is useless anyway)
8÷5=1 with 3 as remainder (take both 1 and 3)
The player can then use the 8 piece (the piece behind) to capture an opponent piece which is 1 or 3 squares away from the 5 piece (the piece in front), in the same the direction that 8->5 is.

The image below shows how the 1 piece and 2 piece standing next to each other can capture the opponent's pieces. If an opponent's piece is on one of those X squares, the player can capture it. The calculations that the capture is based on are: 1+2=3, 1×2=2, 1÷2=0 with 1 as remainder—

The 0 piece (the one with zero number) is like the King in Chess. When it is captured, the player loses the game.

Besides capturing the 0 piece, players can agree at a certain point to end a match (if the 0 piece is not captured before that point is reached). The point that one player gains is calculated by summing the numbers of the opponent's pieces that have been captured.

For example, if the players agree to set the match's ending point to 10. Then when a player captures the 5 and 6 piece, he wins the game (5+6=11 which is greater than 10). Or if a player captures the 0 piece then he also wins.

We all know that the aim of Chess is to checkmate the opponent's King, the aim of Go is to surround a larger total area of the board with one's stones than the opponent (count by scores). In Mathematical Chess, I think we must balance Chess and Go, the game−complexity is really high.

I want to evaluate every mathematical chess piece value. I'm studying Machine Learning, how can I continue with my idea? I need your help. This Chess-variant deserves much more research effort.

This is Vietnamese Mathematical Chess—
http://cotoan.vnvista.com/rules-en.html
The board contains 11 ranks and 9 files. Each side have ten pieces, numbered from 0 to 9. The board initial layout is set as the picture below—

Movements: Each piece (with the exception of 0 piece) can move in any direction (vertically, horizontally, or diagonally − forward or backward), the max number of squares a piece can move depends on the number of the piece.
For example, the piece with number 2 can move 1 or 2 empty squares, while the piece with number 9 can move from 1 to 9 empty squares—

Capture: To capture the opponent's piece, player must have two pieces one next to another. Then use the numbers of the two pieces to make calculations. Allowed calculations are + (addition), - (subtraction), × (multiplication), ÷ (division), and division reminder.
Any results of the calculations can be used to apply to the capture. If a result contain two numbers, then remove the tens number (for example 8×7=56=>use 6). Use a suitable result to make the capture by taking the piece behind to capture opponent's piece.
For example, player have an 8 piece and 5 piece next to each other vertically. Calculation results from these 2 pieces are:
8+5=13 (take 3)
8-5=3
8×5=40 (take 0 - which is useless anyway)
8÷5=1 with 3 as remainder (take both 1 and 3)
Player can then use the 8 piece (the piece behind) to capture an opponent piece which is 1 or 3 squares away from the 5 piece (the piece on front), in same the direction that 8->5 is.
The image below show how the 1 piece and 2 piece standing next to each other can capture opponent pieces. If an opponent piece is on one of those X squares, player can capture it. The calculations that the capture is based on are: 1+2=3, 1×2=2, 1÷2=0 with 1 as remainder—

The 0 piece (the one with zero number) is like the King in Chess. When it is captured, player loses the game.
Besides capturing 0 piece, players can agree on a certain point for ending a match (if the 0 piece is not captured before that point is reached). The point that one player gains is calculated by summing the numbers of the opponent's pieces that have been captured.
For example, if the players agree to set the match's ending point to 10. Then when a player captures the 5 and 6 piece, he wins the game (5+6=11 which is greater than 10). Or if a player captures the 0 piece then he also wins.
We all know that the object of Chess is to checkmate the opponent's King, the object of Go is to surround a larger total area of the board with one's stones than the opponent (count by scores). In Mathematical Chess, I think we must balance Chess and Go, the game−complexity is really high. I want to evaluate every Mathematical Chess Piece Value. I'm studying Machine Learning, how can I continue with my idea? I need your help. This Chess-variants is deserved much more to doing research on.
Thanks for noticing my introduction a real lot.

This is Vietnamese Mathematical Chess—
http://cotoan.vnvista.com/rules-en.html
The board contains 11 ranks and 9 files. Each side has ten pieces, numbered from 0 to 9. The board initial layout is as displayed in the picture below—

Movements: Each piece (with the exception of 0 piece) can move in any direction (vertically, horizontally, or diagonally − forward or backward), the max number of squares a piece can move depends on the number of the piece.
For example, the piece with number 2 can move 1 or 2 empty squares, while the piece with number 9 can move from 1 to 9 empty squares—

Capture: To capture the opponent's piece, a player must have two pieces one next to another. Then use the numbers of the two pieces to make calculations. Allowed calculations are + (addition), - (subtraction), × (multiplication), ÷ (division), and modulus (division reminder).

Any results of the calculations can be used to apply to the capture. If a result contains two numbers, then remove the tens number (for example 8×7=56=>use 6). Use a suitable result to make the capture by taking the piece behind to capture the opponent's piece.

For example, one player have an 8 piece and 5 piece next to each other vertically. Calculation results from these 2 pieces are:
8+5=13 (take 3)
8-5=3
8×5=40 (take 0 - which is useless anyway)
8÷5=1 with 3 as remainder (take both 1 and 3)
The player can then use the 8 piece (the piece behind) to capture an opponent piece which is 1 or 3 squares away from the 5 piece (the piece in front), in the same the direction that 8->5 is.

The image below shows how the 1 piece and 2 piece standing next to each other can capture the opponent's pieces. If an opponent's piece is on one of those X squares, the player can capture it. The calculations that the capture is based on are: 1+2=3, 1×2=2, 1÷2=0 with 1 as remainder—

The 0 piece (the one with zero number) is like the King in Chess. When it is captured, the player loses the game.

Besides capturing the 0 piece, players can agree at a certain point to end a match (if the 0 piece is not captured before that point is reached). The point that one player gains is calculated by summing the numbers of the opponent's pieces that have been captured.

For example, if the players agree to set the match's ending point to 10. Then when a player captures the 5 and 6 piece, he wins the game (5+6=11 which is greater than 10). Or if a player captures the 0 piece then he also wins.

We all know that the object of Chess is to checkmate the opponent's King, the object of Go is to surround a larger total area of the board with one's stones than the opponent (count by scores). In Mathematical Chess, I think we must balance Chess and Go, the game−complexity is really high. 

I want to evaluate every mathematical chess piece value. I'm studying Machine Learning, how can I continue with my idea? I need your help. This Chess-variants deserves much more research effort.