A case study on using neural networks to perform technical.pdf Christian L. Dunis Modelling and Trading EURUSD.pdf ED PONSI Forex Patterns and Proabilities.pdf Gorban A.N.神经信息学。What are we, where are we going, how to measure our way.pdf Haykin S. Kalman filtering and neural networks.djvu Jonsson F. Markus.Markus.在真实地形的数字化地图上为车辆寻找最佳路径.第一部分.doc Jonsson F. Markus.Markus.在真实地形的数字化地图上为车辆寻找最佳路径。第二部分.doc Kondratenko V.V. Using Recurrent Neural Networks To Forecasting of Forex.pdf Krose B. Neural networks.神经网络入门。1996.djvu Long, Parks Neural Network Modeling.djvu Neural_Network_Trend_Predictor_Manual.pdf Simon D.用扩展卡尔曼滤波器训练径向基神经网络 ToshibaNeuronChip.pdf Barskii A.B. Neural Networks Recognition, Control, Decision Making.2004.pdf Berkinblit M.B. Neural Networks 1993.djvu Bastens D. Neural Networks and Financial Markets.交易操作中的决策制定.djvu Vapnik V.N. Restoration of dependencies on empirical data.1997.djvu Vezhnevets A. Non-Standard Neural Network Architectures.pdf Voronovsky G.K. Genetic Algorithms, Artificial Neural Networks and Problems of Virtual Reality.pdf Voronovsky G.K. Genetic Algorithms, Artificial Neural Networks and Problems of Virtual Reality.pdf Galushkin A.I. Theory of Neural Networks.Book 1 2000.djvu Goldstein B.S. Intellectual Networks.2000.djvu Gorban A.N. Generalised approximation theorem and deduction possibilities of neural networks.pdf Gorbunova E.O. Algorithmic universality of kinetic machine Kirdin.pdf Gorbunova E.O. Methods of neuroinformatics.Kirdin 动力机简单程序的有限性和确定性.pdf Jain Anil K. Introduction to artificial neural networks.pdf Dorrer M.G. Intuitive prediction by neural networks of relations in a group.pdf Dorrer M.G. Methods of neuroinformatics.带有任意转换器的半层预测器对多维函数的逼近.pdf Dubrovich V.I. Subbotin S.A. perseptrons 加速学习算法.pdf Ezhov A. Shumsky S. Neurocomputing and its applications in economy and business.djvu Zhukov L.A. Use of neural network technologies for carrying out educational and research works.pdf Zaentsev I.V. Neural networks basic models.1999.pdf Zakharov V.N. Khoroshevskiy V.F. Artificial Intelligence.第 3 卷.Software and hardware 1990.djvu Callan R. Basic concepts of neural networks.djvu Kgur P.G. Neural networks and neurocomputers.pdf Komashinsky V.I. Neural networks and their application in control and communication systems 2003.pdf Committee NN.pdf Korotkiy S. Hopfield and Hamming neural networks.pdf Korotkiy S. Neural networks.反向传播算法.pdf Korotkiy S. Neural Networks.无师自通.pdf Korotkiy S. Neural Networks.基础.pdf Krisilov V.A. Kondartiuk A.V. Transformation of input data of neural networks in order to improve distinguishability.pdf Krisilov V.A. Oleshko D.N. Methods of acceleration of training of neural networks.doc Krisilov V.A. Chumichkin K.V. Acceleration of training of neural networks due to adaptive simplification of training sample.pdf Krislov V.A. Representation of initial data in tasks of neural network forecasting.pdf Kruglov V.V.模糊逻辑与人工神经网络.djvu Kruglov, Borisov - 人工神经网络。理论与实践，2002.djvu Kruglov, Borisov - 人工神经网络。Theory and practice, 2002.txt Liu B. Theory and practice of undefined programming 2005.djvu McCulloch W., Pitts W. Logical calculus of ideas relating to neural activity.pdf Markel J.D. Linear prediction of speech.1980.djvu Mirkes E.M. Neurocomputer.标准草案。1998.pdf 用于控制优化问题的修正遗传算法.pdf Nabhan T.N. Zomaya A.论创建优化功能的神经网络结构问题.pdf Napalkov A.В.,Pragina L.L. - Human Brain and Artificial Intelligence.docx Oleshko D.N. Improving the Quality and Speed of Neural Networks Training in the Task of Predicting the Behaviour of Time Series.doc Oleshko D.N. Improving the Quality and Speed of Neural Networks Training.doc Ostrovsky S. Neural Networks for Information Processing 2000.djvu Pavlidis T. Algorithms of Machine Graphics and Image Processing.djvu Penrose R. The New Mind of the King.论计算机、思维和物理定律》.2003.djvu Pitenko A.A. Use of neural network technologies in solving analytical tasks in GIS.pdf Rutkovskaya D. Neural Network Genetic Algorithms.神经网络遗传算法和模糊系统.djvu Senashova M.Yu. Neural Networks Errors.突触权重误差的计算。1998.pdf Subbotin S.A. 苏联-独联体的神经网络技术--发明和专利分析评论.pdf Tarasenko R.A. 时间序列预测任务中神经网络训练样本形成时情况描述大小的选择.doc Tarasenko R.A. 时间序列预测任务中神经网络训练样本质量的初步估计.doc Terekhov S.A. 神经网络机器训练的技术问题.2006.pdf feasibility-INVEST.gif Tyumentsev Y.V. Intelligent Autonomous Systems - Challenge to Information Technologies.pdf Wosserman F. Neurocomputer Engineering.doc Wosserman F. Neurocomputer Engineering.理论与实践.doc Haykin S.Neural networks - full course.djvu Tsaregorodtsev V.G. Production of semi-empirical knowledge from data tables by means of trained artificial neural networks.pdf
Еще раз здравствуй, Хабр! Меня зовут Мария Белялова, и я занимаюсь data science в мобильном фоторедакторе Prequel. Кстати, именно в нём и обработана фотография из шапки поста. Эта вторая статья в нашем цикле материалов про сравнение алгоритмов оптимизации для обучения нейросетей. В первой части мы сравнивали поведение 39 алгоритмов на тестовых...
这与翻译无关。
很明显，这一百套是取决于 FF 的。
带来链接，如果不是很难（文章、书籍）。
关于交易、自动交易系统和交易策略测试的论坛
有用的文献。
Andrey Dik, 2010.07.24 22:26
神经网络、遗传算法
A case study on using neural networks to perform technical.pdf
Christian L. Dunis Modelling and Trading EURUSD.pdf
ED PONSI Forex Patterns and Proabilities.pdf
Gorban A.N.神经信息学。What are we, where are we going, how to measure our way.pdf
Haykin S. Kalman filtering and neural networks.djvu
Jonsson F. Markus.Markus.在真实地形的数字化地图上为车辆寻找最佳路径.第一部分.doc
Jonsson F. Markus.Markus.在真实地形的数字化地图上为车辆寻找最佳路径。第二部分.doc
Kondratenko V.V. Using Recurrent Neural Networks To Forecasting of Forex.pdf
Krose B. Neural networks.神经网络入门。1996.djvu
Long, Parks Neural Network Modeling.djvu
Neural_Network_Trend_Predictor_Manual.pdf
Simon D.用扩展卡尔曼滤波器训练径向基神经网络
ToshibaNeuronChip.pdf
Barskii A.B. Neural Networks Recognition, Control, Decision Making.2004.pdf
Berkinblit M.B. Neural Networks 1993.djvu
Bastens D. Neural Networks and Financial Markets.交易操作中的决策制定.djvu
Vapnik V.N. Restoration of dependencies on empirical data.1997.djvu
Vezhnevets A. Non-Standard Neural Network Architectures.pdf
Voronovsky G.K. Genetic Algorithms, Artificial Neural Networks and Problems of Virtual Reality.pdf
Voronovsky G.K. Genetic Algorithms, Artificial Neural Networks and Problems of Virtual Reality.pdf
Galushkin A.I. Theory of Neural Networks.Book 1 2000.djvu
Goldstein B.S. Intellectual Networks.2000.djvu
Gorban A.N. Generalised approximation theorem and deduction possibilities of neural networks.pdf
Gorbunova E.O. Algorithmic universality of kinetic machine Kirdin.pdf
Gorbunova E.O. Methods of neuroinformatics.Kirdin 动力机简单程序的有限性和确定性.pdf
Jain Anil K. Introduction to artificial neural networks.pdf
Dorrer M.G. Intuitive prediction by neural networks of relations in a group.pdf
Dorrer M.G. Methods of neuroinformatics.带有任意转换器的半层预测器对多维函数的逼近.pdf
Dubrovich V.I. Subbotin S.A. perseptrons 加速学习算法.pdf
Ezhov A. Shumsky S. Neurocomputing and its applications in economy and business.djvu
Zhukov L.A. Use of neural network technologies for carrying out educational and research works.pdf
Zaentsev I.V. Neural networks basic models.1999.pdf
Zakharov V.N. Khoroshevskiy V.F. Artificial Intelligence.第 3 卷.Software and hardware 1990.djvu
Callan R. Basic concepts of neural networks.djvu
Kgur P.G. Neural networks and neurocomputers.pdf
Komashinsky V.I. Neural networks and their application in control and communication systems 2003.pdf
Committee NN.pdf
Korotkiy S. Hopfield and Hamming neural networks.pdf
Korotkiy S. Neural networks.反向传播算法.pdf
Korotkiy S. Neural Networks.无师自通.pdf
Korotkiy S. Neural Networks.基础.pdf
Krisilov V.A. Kondartiuk A.V. Transformation of input data of neural networks in order to improve distinguishability.pdf
Krisilov V.A. Oleshko D.N. Methods of acceleration of training of neural networks.doc
Krisilov V.A. Chumichkin K.V. Acceleration of training of neural networks due to adaptive simplification of training sample.pdf
Krislov V.A. Representation of initial data in tasks of neural network forecasting.pdf
Kruglov V.V.模糊逻辑与人工神经网络.djvu
Kruglov, Borisov - 人工神经网络。理论与实践，2002.djvu
Kruglov, Borisov - 人工神经网络。Theory and practice, 2002.txt
Liu B. Theory and practice of undefined programming 2005.djvu
McCulloch W., Pitts W. Logical calculus of ideas relating to neural activity.pdf
Markel J.D. Linear prediction of speech.1980.djvu
Mirkes E.M. Neurocomputer.标准草案。1998.pdf
用于控制优化问题的修正遗传算法.pdf
Nabhan T.N. Zomaya A.论创建优化功能的神经网络结构问题.pdf
Napalkov A.В.,Pragina L.L. - Human Brain and Artificial Intelligence.docx
Oleshko D.N. Improving the Quality and Speed of Neural Networks Training in the Task of Predicting the Behaviour of Time Series.doc
Oleshko D.N. Improving the Quality and Speed of Neural Networks Training.doc
Ostrovsky S. Neural Networks for Information Processing 2000.djvu
Pavlidis T. Algorithms of Machine Graphics and Image Processing.djvu
Penrose R. The New Mind of the King.论计算机、思维和物理定律》.2003.djvu
Pitenko A.A. Use of neural network technologies in solving analytical tasks in GIS.pdf
Rutkovskaya D. Neural Network Genetic Algorithms.神经网络遗传算法和模糊系统.djvu
Senashova M.Yu. Neural Networks Errors.突触权重误差的计算。1998.pdf
Subbotin S.A. 苏联-独联体的神经网络技术--发明和专利分析评论.pdf
Tarasenko R.A. 时间序列预测任务中神经网络训练样本形成时情况描述大小的选择.doc
Tarasenko R.A. 时间序列预测任务中神经网络训练样本质量的初步估计.doc
Terekhov S.A. 神经网络机器训练的技术问题.2006.pdf
feasibility-INVEST.gif
Tyumentsev Y.V. Intelligent Autonomous Systems - Challenge to Information Technologies.pdf
Wosserman F. Neurocomputer Engineering.doc
Wosserman F. Neurocomputer Engineering.理论与实践.doc
Haykin S.Neural networks - full course.djvu
Tsaregorodtsev V.G. Production of semi-empirical knowledge from data tables by means of trained artificial neural networks.pdf
FF 是一样的，不是吗？
当搜索到一百套时，是的。如果通过 FF1 找到了一百套，那么平均水平不好的一套并不能说明没有好的一套。因为通过 FF2 很可能找到一个好的平均集。
各组成部分可以在多功能空间中分别进行评估，也可以一起进行评估（元评估）或其他评估（整体评估）。
有关这一主题的著作参考资料很有意思。
在寻找一百套时，是的。如果通过 FF1 找到一百套，平均水平不好的一套并不能说明没有好的一套。因为通过 FF2 很可能会找到一套好的平均值。
1)
矛盾是什么？
参数选择 == 优化算法中的参数搜索
模型度量估计 == FF 与 Akurashi 估计，例如
你不同意什么？
请阅读这篇文章，尤其是 "损失函数 != 质量度量 "部分。我想我说得再清楚不过了。
2)
您能详细说明您认为问题出在哪里吗？例如，我没有看到
有关这一主题的作品链接很有意思。
遗憾的是，我无法提供具体的参考资料。上面我提供了一份文献清单，如果有人感兴趣，我得自己去找。我将不再从事此类教育活动、维护图书馆的书籍并为其编目--这既不值得赞赏，也不会带来收益。
"不要在猪面前流汗......"
很遗憾，我无法提供具体的参考资料。上面我提供了一份文献清单，如果有人感兴趣，我得自己去找。我将不再从事此类教育活动、图书馆书籍的维护和编目工作，因为这既不值得赞赏，也不会带来收益。
"不要在猪面前流汗......"
有关这一主题的作品链接很有意思。
有一种狡猾的感觉。链接要确保能打开。没有一个 "感兴趣 "的人会深入研究它们。没有人会去读安德烈嚼烂了的文章，更不用说学术性质的作品了。
有谁见过这个通俗易懂的 TOP，能够计算出自己优化算法的排名？
交易、自动交易系统和交易策略测试论坛
交易中的机器学习：理论、模型、实践与算法交易
mytarmailS, 2024.01.11 10:29 AM
作为世界排名前三甚至前一的优化算法，PSO 是公认的知名算法，他在评级末尾还有一些大家都没听说过的名字，如灰狼、杂草等。）https://habr.com/ru/users/belyalova/publications/articles/
维护图书馆并为其编目
不是每件有用的东西都能带来金钱)))))