diff --git a/CHANGELOG.md b/CHANGELOG.md
index d1d1647b..16d344e2 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -13,12 +13,12 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - New processes in proposal state:
     - `date_between`
     - `date_difference`
-    - `dl_fit_class_mlp`
     - `filter_vector`
     - `flatten_dimensions`
     - `load_geojson`
     - `load_ml_model`
     - `load_url`
+    - `ml_fit_class_mlp`
     - `ml_fit_class_random_forest`
     - `ml_fit_regr_random_forest`
     - `ml_predict`
diff --git a/proposals/dl_fit_class_mlp.json b/proposals/ml_fit_class_mlp.json
similarity index 96%
rename from proposals/dl_fit_class_mlp.json
rename to proposals/ml_fit_class_mlp.json
index 766eb770..7fbb6131 100644
--- a/proposals/dl_fit_class_mlp.json
+++ b/proposals/ml_fit_class_mlp.json
@@ -1,7 +1,7 @@
 {
-    "id": "dl_fit_class_mlp",
+    "id": "ml_fit_class_mlp",
     "summary": "Train a Multilayer Perceptron classification model",
-    "description": "Fit a Multilayer Perceptron (MLP) classification model to training data. MLP is a class of feedforward artificial neural network (ANN) that consists of at least three layers of nodes: an input layer, a hidden layer, and an output layer. MLP utilizes a supervised learning technique called backpropagation for training.\n\nThis implementation is inspired by Z. Wang, W. Yan, and T. Oates (2017), Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline.",
+    "description": "Fit a Multilayer Perceptron (MLP) classification model to training data. MLP is a class of feedforward artificial neural network (ANN) that consists of at least three layers of nodes: an input layer, a hidden layer, and an output layer. MLP utilizes a supervised learning technique called backpropagation for training.",
     "categories": [
         "machine learning",
         "deep learning"