ニューラルネットワーク – HMA

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ニューラルネットワーク - 船体転送コモン

☛ Jurik Filters/Smoothing and customized MA sorts by mladen
☛ より高い & 最高の配合 (より高い & APBの計算)
☛ 船体MAを活用 (アラン・ハル著) however this one is a variation from Low lag to Zero lag
☛ Greatest use with Volumes on Fundamental Chart indicator - beneficial for indicator set off/replace motion

Transient principle of Neural Networks:

神経コミュニティ is an adjustable mannequin of outputs as capabilities of inputs. It consists of a number of layers:

  1. enter layer, which consists of enter knowledge
  2. hidden layer, which consists of processing nodes referred to as neurons
  3. output layer, which consists of 1 or a number of neurons, whose outputs are the community outputs.

All nodes of adjoining layers are interconnected. These connections are referred to as synapses. Each synapse has an assigned scaling coefficient, by which the information propagated by way of the synapse is multiplied. These scaling coefficient are referred to as weights (w[私][j][k]). で Feed-Ahead Neural Network (FFNN) the information is propagated from inputs to the outputs. Right here is an instance of FFNN with one enter layer, one output layer and two hidden layers:

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The topology of a FFNN is usually abbreviated as follows: <# of inputs> - <# of neurons within the first hidden layer> - <# of neurons within the second hidden layer> -...- <# of outputs>. The above community may be known as a 4-3-3-1 community.
The information is processed by neurons in two steps, correspondingly proven throughout the circle by a summation signal and a step signal:

  1. All inputs are multiplied by the related weights and summed
  2. The ensuing sums are processed by the neuron's activation perform, whose output is the neuron output.

It's the neuron's activation perform that provides non-linearity to the neural community mannequin. それなしで, there is no such thing as a motive to have hidden layers, and the neural community turns into a linear auto-regressive (AR) mannequin.

☝ I can't present any sort of assist like coding (供給コードと一緒に) およびトラブルシューティングサービス. 今のところ, it's possible you'll use this indicator so long as you're armed with the data/talent of the way to use the standard TDI indicator. You may additionally regulate the parameters/settings based mostly in your choice.

By the way in which, there aren't any ensures that these indicators work completely or with out errors. したがって, use at your individual threat; 私はシステムへの損害に対して法的責任を負わないことに同意します, 金銭的損失、さらには生命の喪失さえも.

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Add date: 06:24 PM | 火曜日, 12 六月 2018 | グリニッジ暗示時間 (GMT)

接続ファイル
File Type: zip Neural-Network_Hull-MA_Jurik.zip 128 KB | 64 ダウンロード

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著者: 外国為替ウィキチーム
私たちは経験豊富な外国為替トレーダーのチームです [2000-2023] 自分の思いどおりに人生を生きることに専念している人. 私たちの主な目的は、経済的自立と自由を獲得することです, 私たちは自立可能なライフスタイルを実現する手段として、独学で外国為替市場での豊富な経験を積んできました。.