000 | 00619nam a2200193Ia 4500 | ||
---|---|---|---|
999 |
_c52352 _d52352 |
||
003 | OSt | ||
005 | 20181023043908.0 | ||
008 | 24418b pe ||||| |||| 00| 0 spa d | ||
040 | _cTranscribing agency | ||
082 | _a006.3.SHAN.00 | ||
100 | _aSHANMUGANATHAN, SUBANA | ||
100 | _eAutor | ||
245 | 0 | _aARTIFICIAL NEURAL NETWORK MODELLING, 2016 | |
250 | _a1A. ed | ||
260 | _aNEW ZEALAND | ||
260 | _bSAGA EDICIONES | ||
260 | _c2016 | ||
300 | _a472 | ||
300 | _c24.0 | ||
505 | _aARTIFICIAL NEURAL NETWORK MODELLING: AN INTRODUCTION . -- ORDER IN THE BLACK BOX: CONSISTENCY AND ROBUSTNESS OF HIDDEN NEURON ACTIVATION OF FEED FORWARD NEURAL NETWORKS AND ITS USE IN EFFICIENT OPTIMIZACTION OF NRTWORK STRUCTURE . -- ARTIFICIAL NEURAL NETWORKS AS MODELS OF ROBUSTNESS IN DEVELOPMENT AND REGENERATION: STABILITY OF MEMORY DURING MORPHOLOGICAL REMODELING . -- A STRUCTURE OPTIMIZATION ALGORITHM OF NEURAL NETWORKS FOR PATTERN LEARNING FROM EDUCACTIONAL DATA . -- STOCHASTIC NEURAL NETWORKS FOR MODELLING RANDOM PROCESSES FROM OBSERVED DATA . -- CURVELET INTERACTION WITH AERIFICIAL NEURAL NETWORKS . -- HYBRID WAVELET NEURAL NETWORK APPROACH . -- QUANTIFICATION OF PREDICTION UNCERTAINTY IN ARTIFICIAL NEURAL NETWORK MODELS . -- CLASSFYING CALPAIN INHIBITORS FOR THE TREATMENT OF CATARACTS: A SELF ORGANISING MAP (SOM) ANN/KM APPROACH IN DRUG DISCOVERY . -- IMPROVED ULTRASOUND BASED COMPUTER AIDEL DIAGNOSIS SYSTEM FOR BREAST CANCER INCORPORATING A NEW FEATURE OF MASS CENTRAL REGULARITY DEGREE (CRD) . -- SOM CLUSTERING AND MODELLING OF AUSTRALIAN RAILWAY DRIVERS' SLEEP, WAKE, DUTY PROFILES . -- A NEURAL APPROACH TO ELECTRICITY DEMAND FORECASTING . -- DEVOLOPMENT OF ARTIFICIAL INTELLIGENCE BASED REGINAL FLOOD ESTIMATION TECHNIQUES FOR EASTERN AUSTRALIA . -- ARTIFICIAL NEURAL NETWORKS IN PRECIPITATION NOWCASTING: AN AUSTRALIAN CASE STUDY . -- CONSTRUCTION OF PMX CONCENTRATION SURFACES USING NEURAL EVOLUTIONARY FUZZY MODELS OF TYPE SEMI PHYSICAL CLASS . -- APPLICATION OF ARTIFICIAL NEURAL NETWORK IN SOCIAL MEDIA DATA ANALYSIS: A CASE OF LODGING BUSINESS IN PHILADELPHIA . -- SENTIMENT ANALYSIS ON MORPHOLOGICALLY RICH LANGUAGES: AN ARTIFICIAL NEURAL NETWORK (ANN) APPROACH . -- PREDICTIONG STOCL PRICE MOVEMENTS WITH NEWS SENTIMENT: AN ARTIFICIAL NEURAL NETWORK APPROACH . -- MODELLING MODE CHOICE OF INDIVIDUAL I LINKED TRIPS WITH ARTIFICIAL NEURAL NETWORKS AND FRUZZY REPRESENTATAION . -- ARTIFICIAL NEURAL NETWORK (ANN) PRICING MODEL FOR NATURAL RUBBER PRODUCTS BASED ON CLIMATE DEPENDENCIES . -- A HYBRID ARTIFICIAL NEURAL NETWORK (ANN) APPROACH TO SPATIAL AND NON-SPATIAL ATTRIBUTE DATA MINING: A CASE STUDY EXPERIENCE | ||
650 | _aARTIFICIAL INTELLIGENCE | ||
650 | _aSYSTEMS ENGINEER | ||
700 | _aSAMARASINGHE, SANDHYA | ||
942 |
_cTM001 _2ddc |