[1])) y = w * trainx + b #代价函数 cost = tf.reduce_mean(tf.square(y-trainy)) #调整假设函数 tf.compat.v1.disable_eager_execution() optimizer = tf.compat.v1.train.GradientDescentOptimizer(0.08) train = optimizer.minimize(cost) with tf.compat.v1.Session() as sess: init = t ...
Since SRURGS outputs equations as a string of python code, any symbolic regression platform should be able to use the benchmarks. 1.6 Symbolic regression search space The symbolic regression search space is discrete and discontinuous. Moreover, the search space has a large number of duplicate ...
If this backtracking attempts to remove one of the user-specified polygons around the initial vertex, then the program stops, and may be restarted to try a different pattern. This is basically a depth-first search of the tree of possibilities. However, because the tree is infinite in the ...