Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Physical Sciences and Mathematics
Comparative Study Of Biological And Artificial Neural Networks, O S. Eluyode, Dr. Dipo Theophilus Akomolafe Mbcs, Mncs, Mcpn,
Comparative Study Of Biological And Artificial Neural Networks, O S. Eluyode, Dr. Dipo Theophilus Akomolafe Mbcs, Mncs, Mcpn,
Dr. Dipo Theophilus Akomolafe MBCS, MNCS, MCPN,
In this research project, the features of biological and artificial neural networks were studied by reviewing the existing works of authorities in print and electronics on biological and artificial neural networks. The features were then assessed and evaluated and comparative analysis of the two networks was carried out. The metrics such as structures, layers, size and functional capabilities of neurons, learning capabilities, style of computation, processing elements, processing speed, connections, strength, information storage, information transmission, communication media selection, signal transduction and fault tolerance were used as basis for comparison. A major finding in the research showed that artificial neural networks …
Creating A Soil Data Base In A Reconnaissance Soil Fertility Ssstudy Of An Encroached Forest Reserve In Northern Nigeria For A Reforestation Programme, F O. Adekayode, Dr. Dipo Theophilus Akomolafe Mbcs, Mncs, Mcpn,
Creating A Soil Data Base In A Reconnaissance Soil Fertility Ssstudy Of An Encroached Forest Reserve In Northern Nigeria For A Reforestation Programme, F O. Adekayode, Dr. Dipo Theophilus Akomolafe Mbcs, Mncs, Mcpn,
Dr. Dipo Theophilus Akomolafe MBCS, MNCS, MCPN,
The reconnaissance soil fertility study of 10,000 ha partly encroached forest reserve located between latitude 11°47’N and 11°56’N and longitude 4°22’E and 4°32’E in Northern Nigeria was conducted in 2009 to generate a soil fertility data base of the reserve. The tracking of the forest reserve boundary was done using a Garmin 72 model global positioning system (GPS) receiver. The geographic coordinates were input into the computer to generate a digital map of the forest reserve. The entire forest reserve was divided into grids to guide in the location for soil sampling using the GPS/Geographic Information System (GIS) geospatial technique. …