Add to ORKGA brief introduction to the basic of neural network is presented to give the reader the necessary understanding as well as a clear indication to the jargon and conventional naming that is to be used throughout the entire dissertation. A brief discussion on how neural network can be developed in data mining applications will also be discussed.Master of Science (Communication Software and Networks
Machine Learning is associated with the study and construction of systems that can learn on their ow...
Neural networks have been successfully applied in a wide range of supervised and unsupervised learni...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
A brief introduction to the basic of neural network is presented to give the reader the necessary un...
Data Mining accomplishes nontrivial extraction of implicit, previously unknown, and potentially usef...
Although neural networks may have complex structure, long training time, and uneasily understandable...
The application of neural networks in the data mining has become wider. Data mining is the search fo...
Abstract: “Data Rich and Information Poor ” is the tagline on which the field Data Mining is based o...
Data mining a multidisciplinary field, is an analytic process designed to explore data (typically bu...
Abstract — Companies have been collecting data for decades, building massive data warehouses in whic...
There are many tools for data mining. Neural network is important in data mining due to its intuitio...
The goal of data mining is to solve various problems dealing with knowledge extraction from huge amo...
Artificial Neural Networks (ANNs) has highly interconnected elements (neurons) which unanimously wor...
Neural networks represent a powerful data processing technique that has reached maturity and broad a...
Knowledge could be gained from experts, specialists in the area of interest, or it can be gained by ...
Machine Learning is associated with the study and construction of systems that can learn on their ow...
Neural networks have been successfully applied in a wide range of supervised and unsupervised learni...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
A brief introduction to the basic of neural network is presented to give the reader the necessary un...
Data Mining accomplishes nontrivial extraction of implicit, previously unknown, and potentially usef...
Although neural networks may have complex structure, long training time, and uneasily understandable...
The application of neural networks in the data mining has become wider. Data mining is the search fo...
Abstract: “Data Rich and Information Poor ” is the tagline on which the field Data Mining is based o...
Data mining a multidisciplinary field, is an analytic process designed to explore data (typically bu...
Abstract — Companies have been collecting data for decades, building massive data warehouses in whic...
There are many tools for data mining. Neural network is important in data mining due to its intuitio...
The goal of data mining is to solve various problems dealing with knowledge extraction from huge amo...
Artificial Neural Networks (ANNs) has highly interconnected elements (neurons) which unanimously wor...
Neural networks represent a powerful data processing technique that has reached maturity and broad a...
Knowledge could be gained from experts, specialists in the area of interest, or it can be gained by ...
Machine Learning is associated with the study and construction of systems that can learn on their ow...
Neural networks have been successfully applied in a wide range of supervised and unsupervised learni...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...