diff --git a/tensorneat/examples/func_fit/xor_kan.py b/tensorneat/examples/func_fit/xor_kan.py
deleted file mode 100644
index 60c5feb..0000000
--- a/tensorneat/examples/func_fit/xor_kan.py
+++ /dev/null
@@ -1,48 +0,0 @@
-from pipeline import Pipeline
-from algorithm.neat import *
-from algorithm.neat.gene.node.kan_node import KANNode
-from algorithm.neat.gene.conn.bspline import BSplineConn
-
-from problem.func_fit import XOR3d
-from utils import Act
-
-if __name__ == "__main__":
-    pipeline = Pipeline(
-        algorithm=NEAT(
-            species=DefaultSpecies(
-                genome=DefaultGenome(
-                    num_inputs=3,
-                    num_outputs=1,
-                    max_nodes=50,
-                    max_conns=100,
-                    node_gene=KANNode(),
-                    conn_gene=BSplineConn(grid_cnt=6),
-                    output_transform=Act.sigmoid,  # the activation function for output node
-                    mutation=DefaultMutation(
-                        node_add=0.1,
-                        conn_add=0.1,
-                        node_delete=0.05,
-                        conn_delete=0.05,
-                    ),
-                ),
-                pop_size=10000,
-                species_size=20,
-                compatibility_threshold=1.5,
-                survival_threshold=0.01,  # magic
-            ),
-        ),
-        # problem=XOR3d(return_data=True),
-        problem=XOR3d(),
-        generation_limit=10000,
-        fitness_target=-1e-5,
-        # update_batch_size=8,
-        # pre_update=True,
-    )
-
-    # initialize state
-    state = pipeline.setup()
-    # print(state)
-    # run until terminate
-    state, best = pipeline.auto_run(state)
-    # show result
-    pipeline.show(state, best)