Add model configuration

config.json

@@ -0,0 +1,84 @@
+{
+  "architectures": [
+    "FPINNForward",
+    "FPINNInverse"
+  ],
+  "framework": "pytorch",
+  "model_name": "FPINNs",
+  "model_type": "fpinns",
+  "source_config": "conf/config.yaml",
+  "root": {
+    "common": {
+      "task": "forward",
+      "device": "auto",
+      "dtype": "float32",
+      "seed": 1111,
+      "weight_dir": "weight",
+      "result_dir": "result"
+    },
+    "data": {
+      "mat_file": "data/AC.mat",
+      "n_train": 8000,
+      "evaluation_batch_size": 8192
+    },
+    "model": {
+      "hidden_layers": [
+        200,
+        200,
+        200,
+        200
+      ],
+      "linear_dim": 10,
+      "fuzzy_dim": 4,
+      "activation": "tanh"
+    },
+    "tasks": {
+      "forward": {
+        "training": {
+          "epochs": 10000,
+          "lr": 0.001,
+          "lbfgs_iters": 0,
+          "log_interval": 500
+        },
+        "loss": {
+          "data": 1.0,
+          "pde": 1.0
+        },
+        "pde": {
+          "lambda_1": 0.0001,
+          "lambda_2": 5.0
+        },
+        "output": {
+          "checkpoint_name": "fpinn_forward.pt",
+          "history_name": "fpinn_forward_history.npz",
+          "predictions_name": "fpinn_forward.npz",
+          "figure_name": "fpinn_forward.png"
+        }
+      },
+      "inverse": {
+        "training": {
+          "epochs": 10000,
+          "lr": 0.001,
+          "lbfgs_iters": 0,
+          "log_interval": 500
+        },
+        "loss": {
+          "data": 1.0,
+          "pde": 1.0
+        },
+        "pde": {
+          "initial_lambda_1": 1.0,
+          "initial_lambda_2": 0.0,
+          "true_lambda_1": 0.0001,
+          "true_lambda_2": 5.0
+        },
+        "output": {
+          "checkpoint_name": "fpinn_inverse.pt",
+          "history_name": "fpinn_inverse_history.npz",
+          "predictions_name": "fpinn_inverse.npz",
+          "figure_name": "fpinn_inverse.png"
+        }
+      }
+    }
+  }
+}