Design of cluster-computing architecture to improve training speed of the Neuroevolution algorithm
In this paper, we review the key features and major drawbacks of the Neuroevolution of Augmenting Topologies (NEAT) algorithm, such as …
Simulation of the Autonomous Maze Navigation using the NEAT Algorithm
The article deals with the problem of finding a solution for the navigational task of navigating a maze by an autonomous agent …
Machine Learning and the City: Applications in Architecture and Urban Design
Machine Learning and the City: Applications in Architecture and Urban Design delivers a robust exploration of machine learning (ML) and …
Hands-On Neuroevolution With Python
Neuroevolution is a form of artificial intelligence learning that uses evolutionary algorithms to simplify the process of solving …
Artificial Swarm Intelligence and Cooperative Robotic Systems
In this paper, we look at how Artificial Swarm Intelligence can evolve using evolutionary algorithms that try to minimize the sensory …
Creation of Autonomous Artificial Intelligent Agents using Novelty Search method of fitness function optimization
In this work we describe experiment of applying Novelty Search method of fitness function optimization combined with Neuro-Evolution of …
FTC 2017, Vancouver, Canada
The project had a goal to provide the working implementation of psycho-demographic profiling algorithm, which can be used to profile …
Applying advanced machine learning models to classify electro-physiological activity of human brain for use in biometric identification.
In this article we present the results of our research related to the study of correlations between specific visual stimulation and the …
Applying Deep Machine Learning for psycho-demographic profiling of Internet users using O.C.E.A.N. model of personality.
The project had a goal to provide the working implementation of psycho-demographic profiling algorithm, which can be used to profile …
