New Crowdin translations - zh-CN (#25402)

Co-authored-by: Crowdin Bot <support+bot@crowdin.com>

docs/zh/advanced/neural_networks.md

@@ -7,7 +7,7 @@ This is an experimental module.
 Use at your own risk.
 :::
 
-The Multicopter Neural Network (NN) module  ([mc_nn_control](../modules/modules_controller.md#mc_nn_control)) is an example module that allows you to experiment with using a pre-trained neural network on PX4.
+The Multicopter Neural Network (NN) module ([mc_nn_control](../modules/modules_controller.md#mc-nn-control)) is an example module that allows you to experiment with using a pre-trained neural network on PX4.
 It might be used, for example, to experiment with controllers for non-traditional drone morphologies, computer vision tasks, and so on.
 
 The module integrates a pre-trained neural network based on the [TensorFlow Lite Micro (TFLM)](../advanced/tflm.md) module.

docs/zh/advanced/nn_module_utilities.md

@@ -1,6 +1,6 @@
 # Neural Network Module: System Integration
 
-The neural control module ([mc_nn_control](../modules/modules_controller.md#mc_nn_control)) implements an end-to-end controller utilizing neural networks.
+The neural control module ([mc_nn_control](../modules/modules_controller.md#mc-nn-control)) implements an end-to-end controller utilizing neural networks.
 
 The parts of the module directly concerned with generating the code for the trained neural network and integrating it into the module are covered in [TensorFlow Lite Micro (TFLM)](../advanced/tflm.md).
 This page covers the changes that were made to integrate the module into PX4, both within the module, and in larger system configuration.
@@ -14,7 +14,7 @@ For more information see the developer [Getting Started](../dev_setup/getting_st
 
 ## Autostart
 
-A line to autostart the [mc_nn_control](../modules/modules_controller.md#mc_nn_control) module has been added in the [`ROMFS/px4fmu_common/init.d/rc.mc_apps`](https://github.com/PX4/PX4-Autopilot/blob/main/ROMFS/px4fmu_common/init.d/rc.mc_apps) startup script.
+A line to autostart the [mc_nn_control](../modules/modules_controller.md#mc-nn-control) module has been added in the [`ROMFS/px4fmu_common/init.d/rc.mc_apps`](https://github.com/PX4/PX4-Autopilot/blob/main/ROMFS/px4fmu_common/init.d/rc.mc_apps) startup script.
 
 It checks whether the module is included by looking for the parameter [MC_NN_EN](../advanced_config/parameter_reference.md#MC_NN_EN).
 If this is set to `1` (the default value), the module will be started when booting PX4.

docs/zh/advanced/tflm.md

@@ -1,10 +1,10 @@
 # TensorFlow Lite Micro (TFLM)
 
-The PX4 [Multicopter Neural Network](advanced/neural_networks.md) module ([mc_nn_control](../modules/modules_controller.md#mc_nn_control)) integrates a neural network that uses the [TensorFlow Lite Micro (TFLM)](https://github.com/tensorflow/tflite-micro) inference library.
+The PX4 [Multicopter Neural Network](advanced/neural_networks.md) module ([mc_nn_control](../modules/modules_controller.md#mc-nn-control)) integrates a neural network that uses the [TensorFlow Lite Micro (TFLM)](https://github.com/tensorflow/tflite-micro) inference library.
 
 This is a mature inference library intended for use on embedded devices, and is hence a suitable choice for PX4.
 
-This guide explains how the TFLM library is integrated into the [mc_nn_control](../modules/modules_controller.md#mc_nn_control) module, and the changes you would have to make to use it for your own neural network.
+This guide explains how the TFLM library is integrated into the [mc_nn_control](../modules/modules_controller.md#mc-nn-control) module, and the changes you would have to make to use it for your own neural network.
 
 :::tip
 For more information, see the [TFLM guide](https://ai.google.dev/edge/litert/microcontrollers/get_started).