This article deals with Analytic Programming (AP) which was proven to be highly effective tool of Artificial Neural Network (ANN) synthesis and optimization. AP is used here to obtain optimal ANN which satisfactory solve given problem of classification. The algorithm is theoretically explained and successfully used to perform classification upon real life data of breast cancer diagnosis. Very simple but effective ANN is acquired as a result
Nowadays, the one of sections which is studied about is Artificial Neural Network (ANN) Models. ANN ...
A biological neurone receives inputs from many sources, combines and presents them as a non-linear o...
Breast carcinoma is one of the most signifcant health diseases in the world. Early identifcation of ...
This report describes a feed forward Artificial Neural Network (ANN) synthesis via an Analytic Progr...
Artificial Neural Network (ANN) is one of the modern computational methods proposed to solve increas...
This research deals with a novel approach to classification. This paper deals with a synthesis of a ...
This research deals with a novel approach to classification. This paper deals with a synthesis of a ...
This contribution is introducing use of a novelty method, which allows solving various problems from...
This contribution is introducing use of a novelty method, which allows solving various problems from...
Programming is a task that has accompanied all computer scientists since as early as the vacuum tube...
This paper is a mathematical introduction to Artificial Neural Network (ANN). We will show how it is...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
An Artificial Neural Network ANN is a structured data processing pattern that is stimulated by the w...
This research deals with a novel approach to classification - pseudo neural networks (PNN). This tec...
This concise paper explains the inspiration of AI particularly artificial neural networks (ANNs) for...
Nowadays, the one of sections which is studied about is Artificial Neural Network (ANN) Models. ANN ...
A biological neurone receives inputs from many sources, combines and presents them as a non-linear o...
Breast carcinoma is one of the most signifcant health diseases in the world. Early identifcation of ...
This report describes a feed forward Artificial Neural Network (ANN) synthesis via an Analytic Progr...
Artificial Neural Network (ANN) is one of the modern computational methods proposed to solve increas...
This research deals with a novel approach to classification. This paper deals with a synthesis of a ...
This research deals with a novel approach to classification. This paper deals with a synthesis of a ...
This contribution is introducing use of a novelty method, which allows solving various problems from...
This contribution is introducing use of a novelty method, which allows solving various problems from...
Programming is a task that has accompanied all computer scientists since as early as the vacuum tube...
This paper is a mathematical introduction to Artificial Neural Network (ANN). We will show how it is...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
An Artificial Neural Network ANN is a structured data processing pattern that is stimulated by the w...
This research deals with a novel approach to classification - pseudo neural networks (PNN). This tec...
This concise paper explains the inspiration of AI particularly artificial neural networks (ANNs) for...
Nowadays, the one of sections which is studied about is Artificial Neural Network (ANN) Models. ANN ...
A biological neurone receives inputs from many sources, combines and presents them as a non-linear o...
Breast carcinoma is one of the most signifcant health diseases in the world. Early identifcation of ...