Journal 050210 doc 2025

The document details the development of a neural network program for generating and training chess networks using SNNS (Stuttgart Neural Network Simulator). It outlines the creation of a C# program to generate feed-forward networks, debugging issues encountered, and the integration of PGN (Portable Game Notation) files into EPD (Expanded Position Description) format for training. The author discusses challenges in data processing, network connectivity, and training efficiency, as well as plans for automation and utilizing multiple PCs for training. The document also covers the implementation of various programs to facilitate data extraction, conversion, and analysis of training results, culminating in a comprehensive approach to building an AI capable of playing chess.