Search Results for "artificial neural network code"

JAS is a java library for creating agent based simulations. It features a discrete-event time engine, APIs for network simulation design, powerful yet easy-to-use implementations of Genetic Algorithms and Neural Networks.

AlizaGameAPI is a robust, open-source Java-based framework designed to streamline and enhance the development of 2D and 3D games. It offers a comprehensive set of tools, utilities, and libraries, empowering developers to create immersive and dynamic gaming experiences with ease. Key Features: Modular Architecture, Rich Graphics and UI Components, Comprehensive Game Logic and Character Management, Environment and World-Building Tools, Statistical and Mathematical Utilities, Enhanced...

Turn-based strategy game for developers/technical experienced users, based on neural networks, algorithmic programming languages and other techniques.

RL Poker is a study project Java implementation of an e-soft on-policy Monte Carlo Texas Hold'em poker reinforcement learning algoritm with a feedforward neural network and backpropagation. It provides a graphical interface to monitor game rounds.

Application of neural network to predict the future of stock exchange, aerospace ( ufo trajectory ), sound, image, noise, scientific or medical data. You need , by example, 100 days of a numeric data and the number of days to predict (by example 7 days).

Network gaming environment for AI warriors. Offers an application server, a soccer game application, an observer module visualizing a match and a template code for the warriors development.

A java based neural network framework. The Auratus network is built around an XML messaging system, allowing for a complete MVC design. Additionally, Auratus networks are constructed and at the node/edge level, allowing for advanced topologies.

Multilayer neural network sudoku generator that can be trained to produce puzzles with different degree of dificulty and imitate those made by people.

It's a Cat and Dog game,we develop the Inner AI strategy for the Dog and we also code the strategy of the cat in order to simulate the user. Furthermore we use Artificial Neural Network to build the experiment