Artificial Neural Network | User Guide
What is ANN 97? ▼
ANN 97 [Version 1.01.2026.07]
(c) César Ramos. All rights reserved.
ANN 97 is a private network dedicated to Artificial Intelligence and applying Neural Networks in Finance and Investing.
Start: 2026-07-01
Features and Objective:
1. Members Directory.
2. Chat Room.
3. Direct Messages.
4. Technical Forum.
5. Online AI Tools.
Admin: César Ramos, São Paulo, Brasil (www.cesarramos.com.br)
(c) César Ramos. All rights reserved.
ANN 97 is a private network dedicated to Artificial Intelligence and applying Neural Networks in Finance and Investing.
Start: 2026-07-01
Features and Objective:
1. Members Directory.
2. Chat Room.
3. Direct Messages.
4. Technical Forum.
5. Online AI Tools.
Admin: César Ramos, São Paulo, Brasil (www.cesarramos.com.br)
How to join? ▼
user@ann97:~$
[!] ACCESS RESTRICTED:
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ANN 97 System | PRIVATE NEURAL NETWORK
You must be invited by a member or the admin.
Core Team: São Paulo, Brazil
Status: PROTECTED
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[!] ACCESS RESTRICTED:
------------------------------
ANN 97 System | PRIVATE NEURAL NETWORK
You must be invited by a member or the admin.
Core Team: São Paulo, Brazil
Status: PROTECTED
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Who is owner and Admin? ▼
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The owner and administrator is César Ramos.
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The owner and administrator is César Ramos.
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About the Admin | Who is César Ramos? ▼
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A ScPo Alumni (IEP de Paris, France).
Class of 1996: EcoFi
Class of 1997: Doctoral School (DESS Finance)
DESS Thesis (1996-1997): Artificial Neural Networks (ANN) applied to Credit Scoring, comparison with statistic approach (Discriminant analysis, Fisher).
Thesis Conclusion: Superiority of Artificial Intelligence (Neural Networks) over statistic approaches.
Result Approval: Denied (1997). Thesis result considered impossible to accept and demonstrate (Multi layer Perceptron considered as a "blackbox").
Status: Published, César Ramos, Sciences Po Paris (IEP de Paris), September 1997.
Title: César Ramos, Apport des techniques de réseaux de neurones pour le scoring d'entreprise: comparaison de l'analyse discriminante multidimensionnelle de Fisher et de l'analyse neuronale, application à la détection d'entreprises en difficulté. 1997.
Algorithm used: Backpropagation, Y.LeCun, D.Rumelhart, G.Hinton.
Software used to build the Neural Network: Neural Connection v.1.0 (SPSS, 1995).
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A ScPo Alumni (IEP de Paris, France).
Class of 1996: EcoFi
Class of 1997: Doctoral School (DESS Finance)
DESS Thesis (1996-1997): Artificial Neural Networks (ANN) applied to Credit Scoring, comparison with statistic approach (Discriminant analysis, Fisher).
Thesis Conclusion: Superiority of Artificial Intelligence (Neural Networks) over statistic approaches.
Result Approval: Denied (1997). Thesis result considered impossible to accept and demonstrate (Multi layer Perceptron considered as a "blackbox").
Status: Published, César Ramos, Sciences Po Paris (IEP de Paris), September 1997.
Title: César Ramos, Apport des techniques de réseaux de neurones pour le scoring d'entreprise: comparaison de l'analyse discriminante multidimensionnelle de Fisher et de l'analyse neuronale, application à la détection d'entreprises en difficulté. 1997.
Algorithm used: Backpropagation, Y.LeCun, D.Rumelhart, G.Hinton.
Software used to build the Neural Network: Neural Connection v.1.0 (SPSS, 1995).
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