Нейрокомпьютинг и его применения в экономике и бизнесе

Ассоциативная память

Принципы нейродинамики

Нейрокомпьютерная техника

Введение в нейрокомпьютинг

The Handbook of Brain Theory and Neural Networks

Обучение нейронных сетей

Нейронные сети на персональном компьютере

Нейросети на шине VME. Краткая история нейроинформатики

Neurocomputing: Foundations of Research

Neurocomputing 2: Directions for Research

Neural Networks for Economic and Financial Modeling

Neural Networks and Pattern Recognition

Neural Networks, a Comprehensive Foundation

Neurocomputing

Neural networks and physical systems with emergent collective computational abilities

Neurons with graded response have collective computational properties like those of two-state neurons

A logical calculus of the ideas immanent in nervous activity

Handbook of Neural Computing Applications

Analog VLSI and neural systems

Perceptrons. MIT Press

Neural Networks, An Introduction. Springer-Verlag. 1990.Rosenblatt, F. (1969). Principles of Neurodynamics

Applications of Neural Nets

Adaptive Pattern Recognition and Neural Networks

Learning internal representations by error propagation, in: McClelland, J. L. and Rumelhart, D. E. (Eds.). Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Volume 1, 318-362

Neural Networks and Pattern Recognition

Fundamentals of Neural Networks: Architectures, Algorithms and Applications

Introduction to the Theory of Neural Computation

Practical Neural Network Recipes in C++

A Practical Guide to Neural Nets

An information-maximization approach to Blind Separation and Blind Deconvolution

Neural Networks and Pattern Recognition

Visual Explorations in Finance with Self-Organizing Maps

The Organization of Behavio

Introduction to the Theory of Neural Computation

Self-organized formation of topologically correct feature maps

Self-Organizing Maps. Springer, 1997 (2-nd edition)

Local synaptic learning rules suffice to maximize mutual information in linear network

A simplified neuron model as a Principal Component Analyzer

Learning in nonlinear constrained Hebbian networks, in Artificial Neural Networks (Proc. ICANN-91), T.Kohonen et al. (Eds.)

The function of dream sleep

Learning of Correlated Patterns in Spin-Glass Networks by Local Learning Rules

Neural networks: general properties and particular applications

Empty classes, predictive and clustering thinking networks

Object generation with neural networks (when spurious memories are useful)

Associative Neural Memories: Theory and Implementation

Neural Networks and Physical Systems with Emergent Collective Computational Abilities

Neurons with Graded Response Have Collective Computational Properties Like Those of Two-State Neurons

Unlearning has a stabilizing effect in collective memories

Learning and pattern recognition in spin glass models

Self-organization and Associative Memory

Neural Networks. An Introduction. 2nd edition

Neural networks: general properties and particular applications.

Обзор вычислительной сложности. Тьюринговская лекция в: Лекции лауреатов премии Тьюринга за первые двадцать лет 1966-1985

Neural networks and operations research: An overview

Neural Networks for Optimization and Signal Processing

Higher order neural networks - can they help us optimise?

A comparison of the number of stable points of oprimisation networks

Ant colonies for the traveling salesman problem

An analogue approach to the travelling salesman problem using an elastic net method

A study of the application of Kohonen-type neural network to the travelling salesman problem

FLEXMAP - A neural network for the travelling salesman problem with linear time and space complexity

Applying evolutionary programming to selected traveling salesman problems. Cybernetics and Systems

Problem solving with optimization networks

Complex scheduling with Potts neural networks

Teachers and classes with neural networks

Neural computation of decisions in optimization problems

An effective heuristic algorithm for the travelling-salesman problem

Neural networks methods in combinatorial optimization

J.Chem.Phys

A certain zero-sum two-person game equivalent to the optimal assignment problem

Neural network solution to the link scheduling problem using convex relaxation

Neural networks for optimization problems with inequality constraints - the knapsack problem

A new method for mapping optimization problems onto neural networks

The travelling salesman problem - A neural network perspective

Traditional heuristic versus Hopfield neural network approaches to car sequencing problem

A stochastic neural network for resource constrained scheduling

On the stability of the Travelling Salesman Problem algorithm of Hopfield and Tank

Neural Networks and Pattern Recognition

Complexity of Models, in Complexity, Entropy and the Physics of Information

Инвестиции

Financial market applications of learning from hints

Neural Networks for Economic and Financial Modeling

Chaos Theory in the Financial Markets

The Encyclopedia of Technical Market Indicators

MESA and Trading Market Cycles

A Friendly Guide to Wavelets

Technical traders guide to computer analysis of futures market

Fractal Market Analysis

Technical Analysis Explained

Forecasting Financial Markets

Embedology

Artificial Neural Networks. Forecasting Time Series

Times series prediction: Forecasting the future and understanding the past

Нейронные сети и финансовые рынки. Принятие решений в торговых операциях

Extracting tree-structured representations of trained networks

NeuroRule: A connectionist approach to Data Mining

The observer-observation dilemma in Neuro-Forecasting: Reliable models from unreliable data through CLEARNING

Clearning. In Neural Networks in Financial Engineering

Нейронные сети и финансовые рынки. Принятие решений в торговых операциях

Инвестиции

Financial ratios, Discriminant analysis and the prediction of corporate bankruptcy

Defaults and returns on high-yield bonds through thr first half of 1991

Bond Rating: A Non-Conservative Application of Neural Networks

The determination of long term credit standing with financial ratios

Architecture Selection Strategies for Neural Networks: Application to Corporate Bond Rating Prediction

Self-Organizing Atlas of Russian Banks

Neural Networks in Finance and Investing

An alternative approach predicting corporate bond ratings

Neural Networks and Statistics: A Naive Comparison

Neural Networks versus Logistic Regression in Financial Modelling: A Methodological Comparison