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ARTIFICIAL NEURAL
NETWOR KS
3rd Edition
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PRINCIPLES OFpage: 4 type: text-highlight created: 2020-09-29T23:13:55.130Z color: yellow Graupe
page: 4 type: text-highlight created: 2020-09-29T23:14:01.786Z color: yellow University of Illinois, Chicago, USA
page: 20 type: text-highlight created: 2020-09-29T23:16:21.852Z color: yellow Introduction and Role of Artificial Neural Networks
page: 16 type: text-highlight created: 2020-09-29T23:16:37.998Z color: yellow he Perceptron’s Input-Output Princi
page: 16 type: text-highlight created: 2020-09-29T23:16:44.655Z color: green ’s Input-Output Princi
page: 17 type: text-highlight created: 2020-09-29T23:17:09.645Z color: #9900EF n Learning Proce
page: 18 type: text-highlight created: 2020-09-29T23:17:42.293Z color: red Predicting Price Movement in Market Microstructure viaLAMSTAR
page: 18 type: text-highlight created: 2020-09-29T23:37:10.592Z color: yellow ognitron and the Neocognitron 305
page: 324 type: text-highlight created: 2020-09-29T23:38:22.433Z color: yellow he cognitron network employs both inhibitory and excitory neurons in its various layers
page: 324 type: text-highlight created: 2020-09-29T23:38:53.435Z color: yellow is a network designed mainly with recognition of patterns in mind.