PN N Neural Network Class
Info
The PN N Neural Network Class is a Library for MetaTrader 5 that the cnetpnn class realizes the probabilistic neural network (probabilistic neural network - pnn). Creation of the network is declared to be the class parametric constructor.
Usage
This tool is typically used for enhancing chart analysis and decision making.
Platform
This Library works exclusively on MetaTrader 5 (both build 600+ and newer versions).
Setup
Place the downloaded file in MQL5/Libraries folder via File ? Open Data Folder in MetaTrader 5.
How to Install and Use PN N Neural Network Class
1. Storage: Place library files in the MQL/Libraries directory to ensure they are accessible to your projects.
2. Implementation: Include the library in your code using the #import directive, ensuring you match the exact function names and parameters.
3. Compilation: Ensure the library is present in the directory before you compile your main EA or script, as the compiler links them during this phase.
4. Management: Keep libraries organized in sub-folders if you manage many custom functions to maintain a clean project structure.
Frequently Asked Questions
Q: What is a library file used for? A: Libraries store reusable code modules, allowing you to centralize common logic used by multiple EAs or indicators.
Q: Is a library executable? A: No, libraries are non-executable files containing functions; they must be imported into an EA, indicator, or script to function.
Q: Can I update a library while the platform is running? A: You should compile your EA or script after updating a library to ensure the latest code changes are integrated.
What this tool does
The CNetPNN class realizes the probabilistic neural network (Probabilistic Neural Network - PNN).
Typical Use Case
This Library excels in automated trading and technical analysis on MetaTrader 5.
Compatible Platform & Setup
This Library works on MetaTrader 5. Place the file in the MQL5/Libraries folder and restart the terminal.
Description & Settings
Related: AS Q Neural Net Pure MQ L5 Neural Network Library - another powerful library for MetaTrader 5 traders.
The CNetPNN class realizes the probabilistic neural network (Probabilistic Neural Network - PNN).
Also recommended: ML P Neural Network Class - similar library with strong performance on MetaTrader 5.
Creation of the network is declared to be the class parametric constructor.The numbering of classes (classification targets) starts from zero and must be continuous. For example, if 3 classes are set, the number of classes must be: 0, 1, 2.
Learning network is provided by calling the Learn method (the number of learning patterns, input data array, output data array, the number of learning cycles, the maximum learning error).
Input and output learning data are located in one-dimensional arrays vector by vector. On every input learning vector must be defined the class number in the input data. The process of learning is restricted either by epochs of learning, or allowable error.
The Learn method returns the following values:
0 - network learning is completed and learning result can be checked through the class variable: mse – learning error, epoch – number of accomplished learning cycles;
-1 - non-existent class of the input learning data;
-4 - not enough memory.
To get a response of the network serves the Calculate method (input vector array). The Calculate method returns the class number corresponding to input vector, or -1, if the network is not learned.
Save (open file handle with FILE_WRITE and FILE_BIN flags) and Load (open file handle with FILE_READ and FILE_BIN flags) methods are intended for saving the network to a file and loading the network from the file respectively. Network topology, learning errors and array weights are saved to the file. If parameters of the loaded network topology differ from the parameters of the established network topology, the network will not be loaded and the Load method will return false.
Using of the class is shown in the attached specimen: Test_PNN_XOR - learning network function "exclusive OR".
You may also like: RB F Neural Network Class - excellent alternative for library users on MetaTrader 5.
⚠ Limitations & Risk Warning
- This tool is provided for educational and testing purposes only.
- Past performance does not guarantee future results.
- Trading involves substantial risk of loss. Use on a demo account first.
- Results may vary depending on market conditions, broker, and settings.
- We recommend thorough backtesting and forward testing before using with real funds.