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NeuroSolutions is a general-purpose neural network development environment and TradingSolutions is a tool for developing trading systems based on neural networks and genetic algorithms. NeuroDimension was acquired by nDimensional, Inc. in 2016.
Software Creator Initial release Software license [a] Open source Platform Written in Interface OpenMP support OpenCL support CUDA support ROCm support [1] Automatic differentiation [2] Has pretrained models Recurrent nets Convolutional nets RBM/DBNs Parallel execution (multi node) Actively developed BigDL: Jason Dai (Intel) 2016 Apache 2.0 ...
SNNS research neural network simulator. Historically, the most common type of neural network software was intended for researching neural network structures and algorithms. The primary purpose of this type of software is, through simulation, to gain a better understanding of the behavior and the properties of neural network
Techno Fundamental Trading, Philip Gotthelf, Probus Publishing, 1995, ISBN 1-55738-541-6, Chapter 8, Pattern Recognition, Neural Networks and related Science. Technical Analysis of the Financial Markets, John J. Murphy, New York Institute of Finance, 1999, ISBN 0-7352-0066-1, Chapter 17, The Link Between Stocks and Futures; Intermarket Analysis.
In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function of biological neural networks in animal brains. [1] [2] An ANN consists of connected units or nodes called artificial neurons, which loosely model the neurons in the brain. Artificial ...
The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Advanced Micro Devices wasn’t one of them. The 10 stocks that ...
TensorFlow.nn is a module for executing primitive neural network operations on models. [40] Some of these operations include variations of convolutions (1/2/3D, Atrous, depthwise), activation functions ( Softmax , RELU , GELU, Sigmoid , etc.) and their variations, and other operations ( max-pooling , bias-add, etc.).
In various studies, authors have claimed that neural networks used for generating trading signals given various technical and fundamental inputs have significantly outperformed buy-hold strategies as well as traditional linear technical analysis methods when combined with rule-based expert systems. [29] [30] [31]
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