Description: This the genetic programming algorithm to a classical curve fitting procedures, is very good, you can program by modifying the function of the curve to fit the definition of a wide range of curve
File list (Check if you may need any files):
kernel
......\Evaluate.class
......\Evaluate.java
......\Function.class
......\Function.java
......\Function.java.bak
......\Individual.class
......\Individual.java
......\Individual.java.bak
......\Kernel.class
......\Kernel.java
......\Kernel.java.bak
......\MessageGp.class
......\MessageGp.java
......\MessageGp.java.bak
......\Parameters.class
......\Parameters.java
......\Parameters.java.bak
......\Program.class
......\Program.java
......\Program.java.bak
......\Queue.class
......\Queue.java
......\Queue.java.bak
......\Random.class
......\Random.java
......\SetInterface.class
......\SetInterface.java
......\Terminal.class
......\Terminal.java
regression
..........\function
..........\........\Addition.class
..........\........\Addition.java
..........\........\Division.class
..........\........\Division.java
..........\........\Evaluation.class
..........\........\Evaluation.java
..........\........\Multiplication.class
..........\........\Multiplication.java
..........\........\Parameter.class
..........\........\Parameter.java
..........\........\RandomConstant.class
..........\........\RandomConstant.java
..........\........\Sets.class
..........\........\Sets.java
..........\........\Subtraction.class
..........\........\Subtraction.java
..........\........\Variable.class
..........\........\Variable.java
..........\........\x_value.class
..........\........\x_value.java
..........\gui
..........\...\Graph1.class
..........\...\Graph1.java
..........\...\Graph2.class
..........\...\Graph2.java
..........\...\Graphs.class
..........\...\Graphs.java
..........\regression.rar
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