نتایج جستجو برای: gann

تعداد نتایج: 127  

2008
Guozhong Zhou James D. McCalley

Knowledge of security boundaries is becoming more and more important as transmission lines are operating closer and closer to their capacities in today's deregulated environment. On-line visualization of security boundaries using intelligent techniques provides an eeective methodology for this problem. Feature selection , i.e., critical parameter selection, is one of the most essential techniqu...

Journal: :Research Policy 2021

• We revisit the Dahlander and Gann framework (2010) ten years later to provide new insights for literature on open innovation. review theoretical empirical technological, organizational societal changes that questions challenge existing literature. This paper sheds fresh light our 2010 How Open Is Innovation by taking into consideration notable developments in innovation over last decade. The ...

2010
H. DRUCKREY

EXPERIMENTAL STUDIES: ANIMAL TUMORS Early Effects of Carcinogenic Agents, N. BROCK, H. DRUCKREY, A N D H. HAMPERL. Zur Wirkungsweise cancerogener Stoffe. In order to eliminate the effects of a solvent, as well as the trauma and infection inseparable from repeated injections, crystals of benzpyrene were deposited in the peritoneal cavity of rats as a thick watery suspension contained in collodio...

Journal: :JCS 2016
Nor Azura Husin Norwati Mustapha Md Nasir Sulaiman Razali Yaacob Hazlina Hamdan Masnida Hussin

Corresponding Author: Nor Azura Husin Department of Computer Science, Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor, Malaysia Email: [email protected] Abstract: Early prediction of diseases especially dengue fever in the case of Malaysia, is very crucial to enable health authorities to develop response strategies and context preventive intervent...

Journal: :Advanced photonics research 2021

Gold sea-urchin-like nanoparticles (GSNPs) are promising candidates for cancer thermotherapy. Due to the complex growth of GSNPs and need a precise prediction their surface plasmon wavelength, genetic-algorithm-based artificial neural networks (GANNs) used determine relationship between synthesis parameters wavelength grown via seed-mediated assisted by machine learning. Herein, low-data test i...

Journal: :Mathematical Problems in Engineering 2022

The present research showcases the Indoor Energy-Saving Optimization Design of green buildings. This integrated approach synergizes a building’s process based on intelligent GANN-BIM model. model is driven by genetic algorithms (GAs), which include artificial neural networks (ANNs) along with building information models (BIMs). Building modeling (BIM) technology that involves and management dig...

Journal: :journal of agricultural science and technology 2010
m. r. najafi k. t. lee s. m. hosseini

in recent years, artificial neural networks (anns) have been widely used for flood esti-mation. in this study, an ann model based on the geomorphologic characteristics of a watershed such as the number of possible paths and their probabilities is developed (gann model). nodes in the input layer are allocated to the surface flows, subsurface flows, excess-rainfall and infiltrated rain. the numbe...

جمشیدی بدر, محبوبه, صالحی, زهرا, مسعودی, فریبرز,

Dodehak granitoid stock with tonalite to granodiorite compos ition is exposed south of Dodehak vi llage, north of Ab-e-Gann (Mahalat) in Urumieh-Dorhtar volcanic belt of Iran. Based on petrography and point analysis (EPMA). plagioclase crystals show nonnal zoning with graph ic tex.ture is present. Samples from SE of the intrus ion are different and myrmekite texture is present in the rocks...

Journal: :Cell 2002
Max Gottesman

assembled into complexes. These reactions include acetylation and deacetylation of histones, chromosome remodeling, etc. The authors are, of course, aware of Genes & Signals this, and have broadened their use of the word " recruit-By Mark Ptashne and Alexander Gann ment " to include, for example, the role of the lambda Cold Spring Harbor, NY: Cold Spring Harbor CI repressor in stimulating trans...

1994
Rajendra Krishnan Victor B. Ciesielski

We describe a method of using Genetic Algorithms for training multi-layer perceptron neworks in which the chromosomes encode “rules” for changing the network weights rather than the weights themselves. The genetic operators of crossover, selection and mutation are used to generate new rules which are then applied to the weight matrix. The approach is significantly better than other approaches t...

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