Using Upper Layer Weights to Efficiently Construct and Train Feedforward Neural Networks Executing Backpropagation - Harmon J a Gage
-40% ar kodu BOOKS
30 dienu atgriešanas politika
Feed-forward neural networks executing back propagation are a common tool for regression and pattern recognition problems. These types of neural networks can adjust themselves to data without any prior knowledge of the input data. Feed-forward neural networks with a hidden layer can approximate any function with arbitrary accuracy. In this research, the upper layer weights of the neural network structure ar ... Pilns apraksts
Jums varētu patikt arī
TOP
The Culture Map: Breaking Through the Invisible Boundaries of Global Business
-40% ar kodu BOOKS
Noliktavā
TOP
Atomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Ones
-40% ar kodu BOOKS
Noliktavā
TOP
Women Who Run with the Wolves: Myths and Stories of the Wild Woman Archetype
Clarissa Pinkola Estés, Clarissa Pinkola Estes
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
How Democracies Die
Steven Levitsky, Daniel Ziblatt
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Prisoners of Geography: Updated 10th Anniversary Edition: Ten Maps That Tell You Everything You Need To Know About Global Politics
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Classic Football Shirts
Classic Football Shirts, Rory Smith
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Whole-Brain Child: 12 Revolutionary Strategies to Nurture Your Child's Developing Mind
Daniel J. Siegel, Tina Payne Bryson
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Braiding Sweetgrass: Indigenous Wisdom, Scientific Knowledge and the Teachings of Plants
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Nexus: A Brief History of Information Networks from the Stone Age to AI
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
To Kill a Mockingbird. 60th Anniversary Edition
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Sapiens: A Brief History of Humankind
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Caliban and the Witch: Women, the Body and Primitive Accumulation
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Breaking Through: My Life in Science
-40% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Will to Change: Men, Masculinity, and Love
-40% ar kodu BOOKS
Piegādātāja noliktavā
Aprašymas
Feed-forward neural networks executing back propagation are a common tool for regression and pattern recognition problems. These types of neural networks can adjust themselves to data without any prior knowledge of the input data. Feed-forward neural networks with a hidden layer can approximate any function with arbitrary accuracy. In this research, the upper layer weights of the neural network structure are used to determine an effective middle layer structure and when to terminate training. By combining these two techniques with signal-to-noise ratio feature selection, a process is created to construct an efficient neural network structure. The results of this research show that for data sets tested thus far, these methods yield efficient neural network structure in minimal training time. Data sets used include an XOR data set, Fisher's Iris problem, a financial industry data set, among others.
Vairāk informācijas
| Autors | Harmon J a Gage |
|---|---|
| Izdevējs | Creative Media Partners, LLC |
| Izlaides gads | 2012 |
| Vāka tips | Mīkstais vāks |
| EAN | 9781249613466 |