Add to ORKGA mathematic model of rational fraction multiplayer feed forward neural networks is proposed. A learning algorithm for rational fraction multilayer neural networks is presented. The learning algorithm has the same degree of computing complexity as traditional multilayer neural networks. The function approximation is also discussed. Experiment result illustrates the effectiveness of the rational fraction multilayer feed forward neural networks in solving traditional problems.EI03349-350+3541
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This paper gives an introduction to feedforward neural networks The aim of this paper is to present...
Ellerbrock TM. Multilayer neural networks : learnability, network generation, and network simplifica...
We present a neural network methodology for learning game-playing rules in general. Existing researc...
An efficient neural network based on a rational fraction representation has been trained to perform ...
A multilayer neural network based on multi-valued neurons is considered in the paper. A multivalued ...
(eng) We present a general model for differentiable feed-forward neural networks. Its general mathem...
We consider neural networks with rational activation functions. The choice of the nonlinear activati...
The purpose of this chapter is to introduce a powerful class of mathematical models: the artificial ...
Abstract. A feedforward neural network based on multi-valued neurons is considered in the paper. It ...
In order to study the application of nonlinear fractional differential equations in computer artific...
The paper presents a model of a neural network with a novel backpropagation rule, which uses a fract...
AbstractThis paper is primarily oriented towards discrete mathematics and emphasizes the occurrence ...
In this paper, a learning method for multi-layers neural network in system controller is discussed a...
We consider learning on multilayer neural nets with piecewise poly-nomial activation functions and a...
A positive reinforcement type learning algorithm is formulated for a stochastic feed-forward multila...
This paper gives an introduction to feedforward neural networks The aim of this paper is to present...
Ellerbrock TM. Multilayer neural networks : learnability, network generation, and network simplifica...
We present a neural network methodology for learning game-playing rules in general. Existing researc...