Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Neural networks: algorithms, applications, and programming techniques
Neural networks: algorithms, applications, and programming techniques
Introduction to artificial neural systems
Introduction to artificial neural systems
Fundamentals of neural networks: architectures, algorithms, and applications
Fundamentals of neural networks: architectures, algorithms, and applications
Neural network principles
Backpropagation: the basic theory
Backpropagation
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Hi-index | 0.00 |
_cf_loadingtexthtml="";_cf_contextpath="";_cf_ajaxscriptsrc="/CFIDE/scripts/ajax";_cf_jsonprefix='//';_cf_clientid='75B6CCDA4905D7319D1D9DECE6808BFB';Multilayer Feed Forward Neural Networks for olive trees identification function settab() { var mytabs = ColdFusion.Layout.getTabLayout('citationdetails'); mytabs.on('tabchange', function(tabpanel,activetab) { document.cookie = 'picked=' + '1712835' + ',' + activetab.id; }) }function letemknow(){ ColdFusion.Window.show('letemknow');}function testthis(){alert('test');}function loadalert(){ alert("I am in the load alert"); }function loadalert2(){ alert("I am in the load alert2"); } google.load('visualization', '1', {packages:['orgchart']}); google.setOnLoadCallback(drawChart); function drawChart() { var data = new google.visualization.DataTable(); data.addColumn('string', 'Name'); data.addColumn('string', 'Manager'); data.addColumn('string', 'ToolTip'); data.addRows([ [{v:'0', f:'CCS for this Article