ARTÍCULO
TITULO

Mathematical Foundations and Learning Theory - Estimations of Error Bounds for Neural-Network Function Approximators

Townsend    
N W    
Tarassenko    
L    

Resumen

No disponible

 Artículos similares

       
 
Oxana Bezhaeva     Pág. 34 - 40
This paper discusses the methodological foundations of ensuring the functional safety of hardware and software complexes. The conceptual basis of the research is a systematic combination of proactive, active and reactive approaches to the management of d... ver más

 
Oliver Olela Otafudu and Oscar Valero    
Information orders play a central role in the mathematical foundations of Computer Science. Concretely, they are a suitable tool to describe processes in which the information increases successively in each step of the computation. In order to provide nu... ver más
Revista: Information

 
Raúl de Celis, Pablo Solano and Luis Cadarso    
The Guidance, Navigation and Control (GNC) of air and space vehicles has been one of the spearheads of research in the aerospace field in recent times. Using Global Navigation Satellite Systems (GNSS) and inertial navigation systems, accuracy may be deta... ver más
Revista: Algorithms

 
Eugene Tikhonov,Manfred Sneps-Sneppe     Pág. 13 - 26
The article introduces the theoretical foundations of the modern method of storing, transmitting and processing signals: digital processing. It?s a way to use relatively small number of values instead of continuous real signal. For example, when tra... ver más

 
Igor Nevliudov, Oleksandr Tsymbal, Artem Bronnikov     Pág. 33 - 47
The subject of the study is intellectual means in the system of managing an intelligent manufacturing agent; the goal is to ensure the quality of managing a flexible integrated robotic system by developing the intellectual decision support system. The fo... ver más