Add to ORKGNeural Network Synthesis is an algorithm capable of creating and learning and artificial neural networks as well as optimizing their structures and connections. The method is based on Analytic Programming and asynchronous implementation of Self-Organising Migration Algorithm. Such approach already recorded several successful application considering practical casers of modelling and simulation. This results vindicate efforts for its further development. This paper explores a possibility to make it more effective by adaptive individual handling. The main idea is an intelligent control the process based on complexity of processed neural network structure. (C) 2016 The Authors. Published by Elsevier Ltd.Ministry of Education, Youth and Sports o...
Artificial neural networks (ANNs) are applied to many real-world problems, ranging from pattern clas...
This contribution is introducing use of a novelty method, which allows solving various problems from...
This paper is about synthesis quasi-optimal control system in uncertain conditions with neural netwo...
Neural Network Synthesis is a method based on based on Analytic Programming and asynchronous impleme...
Neural Network Synthesis is an algorithm capable of creating and learning and artificial neural netw...
Neural Network Synthesis is a new innovative method for an artificial neural network learning and st...
Neural Network Synthesis is a method based on based on Analytic Programming and asynchronous impleme...
This report describes a feed forward Artificial Neural Network (ANN) synthesis via an Analytic Progr...
In the paper, an ontogenic artificial neural network (ANNs) is proposed. The network uses orthogonal...
This article deals with Analytic Programming (AP) which was proven to be highly effective tool of Ar...
Currently, the problem of designing automatic control systems of dynamically variable objects is cha...
Artificial neural networks (ANNs) are powerful methods for the classification of multi-dimensional d...
The research presented in this thesis is concerned with optimising the structure of Artificial Neura...
Programming is a task that has accompanied all computer scientists since as early as the vacuum tube...
This paper presents a new approach to mental functions modeling with the use of artificial neural ne...
Artificial neural networks (ANNs) are applied to many real-world problems, ranging from pattern clas...
This contribution is introducing use of a novelty method, which allows solving various problems from...
This paper is about synthesis quasi-optimal control system in uncertain conditions with neural netwo...
Neural Network Synthesis is a method based on based on Analytic Programming and asynchronous impleme...
Neural Network Synthesis is an algorithm capable of creating and learning and artificial neural netw...
Neural Network Synthesis is a new innovative method for an artificial neural network learning and st...
Neural Network Synthesis is a method based on based on Analytic Programming and asynchronous impleme...
This report describes a feed forward Artificial Neural Network (ANN) synthesis via an Analytic Progr...
In the paper, an ontogenic artificial neural network (ANNs) is proposed. The network uses orthogonal...
This article deals with Analytic Programming (AP) which was proven to be highly effective tool of Ar...
Currently, the problem of designing automatic control systems of dynamically variable objects is cha...
Artificial neural networks (ANNs) are powerful methods for the classification of multi-dimensional d...
The research presented in this thesis is concerned with optimising the structure of Artificial Neura...
Programming is a task that has accompanied all computer scientists since as early as the vacuum tube...
This paper presents a new approach to mental functions modeling with the use of artificial neural ne...
Artificial neural networks (ANNs) are applied to many real-world problems, ranging from pattern clas...
This contribution is introducing use of a novelty method, which allows solving various problems from...
This paper is about synthesis quasi-optimal control system in uncertain conditions with neural netwo...