A neural network is a massively parallel distributed processor that has a natural propensity for storing experiential knowledge and making it available for use. It resembles the brain in two respects: 1 . Knowledge is acquired by the network through a... Water Resources Systems Planning and Management - Page 180by Sharad K. Jain, V.P. Singh - 2003 - 882 pagesLimited preview - About this book
| Brian D. Ripley - 1996 - 422 pages
...is a massively parallel distributed processor that has a natural propensity for storing experiential knowledge and making it available for use. It resembles...synaptic weights are used to store the knowledge.' In practice the vast majority of neural network applications are run on single-processor digital computers,... | |
| Arieh Iserles - 1999 - 310 pages
...is a massively parallel distributed processor that has a natural propensity for storing experiential knowledge and making it available for use. It resembles...synaptic weights are used to store the knowledge.' This is a highly nonmathematical formulation. Let us try to be a bit less heuristic. Neural network... | |
| Madan M. Gupta - 1999 - 639 pages
...Research Laboratory, McMaster University, Hamilton, Ontario, Canada L8S 4K1 1 SOME BASIC DEFINITIONS A neural network is a massively parallel distributed...available for use. It resembles the brain in two respects: • Knowledge is acquired by the network through a learning process. • Interconnection strengths... | |
| Anjan K. Deb - 2000 - 257 pages
...is a massively parallel distributed processor that has a natural propensity for storing experiential knowledge and making it available for use. It resembles...synaptic weights are used to store the knowledge. 129 Pattern Recognition By Neural Network 19 20 21 22 23 24 Hour of Day FIGURE 7.24 Application of... | |
| Ernest Czogała, Jacek Leski - 2000 - 220 pages
...processor made up of simple processing units, which has a natural propensity for storing experiential knowledge and making it available for use. It resembles...respects: 1). Knowledge is acquired by the network from its environment through a learning process, 2). Interneuron connection strengths, known as synaptic... | |
| Stergios Stergiopoulos - 2000 - 752 pages
...is a massively parallel distributed processor that has a natural propensity for storing experiential knowledge and making it available for use. It resembles...acquired by the network through a learning process. 2. Interconnection strengths known as synaptic weights are used to store the knowledge. Basically, learning... | |
| Vijay P. Singh, Donald K. Frevert - 2002 - 930 pages
...propensity for storing experimental knowledge and making it available for use. It resembles the human brain in two respects: (1) Knowledge is acquired by...synaptic weights are used to store the knowledge". Artificial Neural Networks (ANN) are now being usefully employed for solution of problems which have... | |
| V.C. Lakhan - 2003 - 614 pages
...is a massively parallel distributed processor that has a natural propensity for storing experiential knowledge and making it available for use. It resembles...acquired by the network through a learning process and (2) interneuron connection strengths known as synaptic weights are used to store the knowledge."... | |
| V.C. Lakhan - 2003 - 614 pages
...is a massively parallel distributed processor that has a natural propensity for storing experiential knowledge and making it available for use. It resembles the brain in two respects: (I) knowledge is acquired by the network through a learning process and (2) intemeuron connection strengths... | |
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