Altera_Forum
Honored Contributor
Honored ContributorLUT help!!!
I have wrote this code for implementing a neural network.What it does is to take some values(inputs) and some weights and computes the SUM(values*weigths).What i want to do is to check if the total sum(values*weights)< threshold and correct the weights in order to sum(values*weights)>=threshold.I think that i have to store the weights on a look up table and change the values in order to sum(values*weights)>=threshold.How i can do this?.My code is :
LIBRARY IEEE; USE IEEE.STD_LOGIC_1164.ALL; USE IEEE.STD_LOGIC_ARITH.ALL; USE IEEE.STD_LOGIC_UNSIGNED.ALL; USE IEEE.STD_LOGIC_SIGNED.ALL; ENTITY ANN IS GENERIC ( m : INTEGER := 4; -- Number of inputs or weights b : INTEGER := 8); --Number of bits per input or weight PORT ( x1,x2,x3,x4: IN UNSIGNED(b-1 DOWNTO 0); w : IN UNSIGNED(b-1 DOWNTO 0); clk: IN STD_LOGIC; y : buffer UNSIGNED(2*b-1 DOWNTO 0); id : buffer bit); END ANN; ARCHITECTURE NEURAL OF ANN IS TYPE weights IS ARRAY (1 TO m) OF UNSIGNED(b-1 DOWNTO 0); TYPE inputs IS ARRAY (1 TO m) OF UNSIGNED(b-1 DOWNTO 0); BEGIN PROCESS(clk,w,x1,x2,x3,x4) VARIABLE weight : weights; VARIABLE input : inputs; VARIABLE prod,acc : UNSIGNED(2*b-1 DOWNTO 0); VARIABLE sub : UNSIGNED(2*b-1 DOWNTO 0); BEGIN IF (clk'EVENT AND CLK='1') THEN weight:=w&weight(1 TO m-1); END IF; input(1):=x1; input(2):=x2; input(3):=x3; input(4):=x4; acc:=(OTHERS=>'0'); FOR j IN 1 TO m LOOP prod:=input(j)*weight(j); acc:=acc+prod; END LOOP; y<=acc; END IF; END PROCESS; END NEURAL;
