Artificial Intelligence for Renewable Energy Systems. Группа авторов

Читать онлайн.
Название Artificial Intelligence for Renewable Energy Systems
Автор произведения Группа авторов
Жанр Программы
Серия
Издательство Программы
Год выпуска 0
isbn 9781119761716



Скачать книгу

156

      160  157

      161  158

      162  159

      163  160

      164  161

      165  162

      166  163

      167  164

      168  165

      169  166

      170  167

      171  168

      172 169

      173  170

      174  171

      175  172

      176  173

      177  174

      178  175

      179  176

      180  177

      181  178

      182  179

      183  181

      184  182

      185  183

      186  184

      187  185

      188  186

      189  187

      190  188

      191  189

      192  190

      193  191

      194  192

      195  193

      196  194

      197  195

      198  196

      199  197

      200  198

      201  199

      202  201

      203  202

      204  203

      205  204

      206  205

      207  206

      208  207

      209  208

      210  209

      211  211

      212  212

      213  213

      214  214

      215  215

      216  216

      217  217

      218  218

      219  219

      220  220

      221  221

      222  222

      223  223

      224  224

      225  225

      226  226

      227  227

      228  229

      229  230

      230  231

      231  232

      232  233

      233  234

      234  235

      235  236

      236  237

      237  238

      238  239

      239 240

      240 241

      241 242

      242 243

      243 244

      244 245

      245 246

      246 247

      247  249

      248  250

      249  251

      250  252

      Scrivener Publishing 100 Cummings Center, Suite 541J Beverly, MA 01915-6106

       Artificial Intelligence and Soft Computing for Industrial Transformation

       Series Editor: Dr. S. Balamurugan ([email protected])

      Scope: Artificial Intelligence and Soft Computing Techniques play an impeccable role in industrial transformation. The topics to be covered in this book series include Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Fuzzy Logic, Genetic Algorithms, Particle Swarm Optimization, Evolutionary Algorithms, Nature Inspired Algorithms, Simulated Annealing, Metaheuristics, Cuckoo Search, Firefly Optimization, Bio-inspired Algorithms, Ant Colony Optimization, Heuristic Search Techniques, Reinforcement Learning, Inductive Learning, Statistical Learning, Supervised and Unsupervised Learning, Association Learning and Clustering, Reasoning, Support Vector Machine, Differential Evolution Algorithms, Expert Systems, Neuro Fuzzy Hybrid Systems, Genetic Neuro Hybrid Systems, Genetic Fuzzy Hybrid Systems and other Hybridized Soft Computing Techniques and their applications for Industrial Transformation. The book series is aimed to provide comprehensive handbooks and reference books for the benefit of scientists, research scholars, students and industry professional working towards next generation industrial transformation.

      Publishers at Scrivener Martin Scrivener ([email protected]) Phillip Carmical ([email protected])

      Artificial Intelligence for Renewable Energy Systems

      Edited by

      Ajay Kumar Vyas

      S. Balamurugan

      Kamal Kant Hiran

      and

      Harsh S. Dhiman

images

      This edition first published 2022 by John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA and Scrivener Publishing LLC, 100 Cummings Center, Suite 541J, Beverly, MA 01915, USA

      © 2022 Scrivener Publishing LLC

      For more information about Scrivener publications please visit www.scrivenerpublishing.com.

      All